From Science To Computational Sciences

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From Science to Computational Sciences

Gabriele Gramelsberger
From Science to Computational Sciences Book PDF

Author : Gabriele Gramelsberger
Publisher : Unknown
Page : 0 pages
File Size : 43,9 Mb
Release : 2011
Category : Computer science
ISBN : 3037340932

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From Science to Computational Sciences by Gabriele Gramelsberger Pdf

"In 1946 John von Neumann stated that science is stagnant along the entire front of complex problems, proposing the use of largescale computing machines to overcome this stagnation. In other words, Neumann advocated replacing analytical methods with numerical ones. The invention of the computer in the 1940s allowed scientists to realise numerical simulations of increasingly complex problems like weather forecasting, and climate and molecular modelling. Today, computers are widely used as computational laboratories, shifting science toward the computational sciences. By replacing analytical methods with numerical ones, they have expanded theory and experimentation by simulation. During the last decades hundreds of computational departments have been established all over the world and countless computer-based simulations have been conducted. This volume explores the epoch-making influence of automatic computing machines on science, in particular as simulation tools."--Back cover.

Creators of Mathematical and Computational Sciences

Ravi P Agarwal,Syamal K Sen
Creators of Mathematical and Computational Sciences Book PDF

Author : Ravi P Agarwal,Syamal K Sen
Publisher : Springer
Page : 514 pages
File Size : 47,7 Mb
Release : 2014-11-11
Category : Mathematics
ISBN : 9783319108704

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Creators of Mathematical and Computational Sciences by Ravi P Agarwal,Syamal K Sen Pdf

​The book records the essential discoveries of mathematical and computational scientists in chronological order, following the birth of ideas on the basis of prior ideas ad infinitum. The authors document the winding path of mathematical scholarship throughout history, and most importantly, the thought process of each individual that resulted in the mastery of their subject. The book implicitly addresses the nature and character of every scientist as one tries to understand their visible actions in both adverse and congenial environments. The authors hope that this will enable the reader to understand their mode of thinking, and perhaps even to emulate their virtues in life.

Introduction to Computational Science

Angela B. Shiflet,George W. Shiflet
Introduction to Computational Science Book PDF

Author : Angela B. Shiflet,George W. Shiflet
Publisher : Princeton University Press
Page : 857 pages
File Size : 48,9 Mb
Release : 2014-03-30
Category : Computers
ISBN : 9781400850556

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Introduction to Computational Science by Angela B. Shiflet,George W. Shiflet Pdf

The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors

Computational Sciences and Artificial Intelligence in Industry

Tero Tuovinen,Jacques Periaux,Pekka Neittaanmäki
Computational Sciences and Artificial Intelligence in Industry Book PDF

Author : Tero Tuovinen,Jacques Periaux,Pekka Neittaanmäki
Publisher : Springer Nature
Page : 278 pages
File Size : 47,7 Mb
Release : 2021-08-19
Category : Technology & Engineering
ISBN : 9783030707873

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Computational Sciences and Artificial Intelligence in Industry by Tero Tuovinen,Jacques Periaux,Pekka Neittaanmäki Pdf

This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.

Computations with Modular Forms

Gebhard Böckle,Gabor Wiese
Computations with Modular Forms Book PDF

Author : Gebhard Böckle,Gabor Wiese
Publisher : Springer Science & Business Media
Page : 376 pages
File Size : 55,7 Mb
Release : 2014-01-23
Category : Mathematics
ISBN : 9783319038476

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Computations with Modular Forms by Gebhard Böckle,Gabor Wiese Pdf

This volume contains original research articles, survey articles and lecture notes related to the Computations with Modular Forms 2011 Summer School and Conference, held at the University of Heidelberg. A key theme of the Conference and Summer School was the interplay between theory, algorithms and experiment. The 14 papers offer readers both, instructional courses on the latest algorithms for computing modular and automorphic forms, as well as original research articles reporting on the latest developments in the field. The three Summer School lectures provide an introduction to modern algorithms together with some theoretical background for computations of and with modular forms, including computing cohomology of arithmetic groups, algebraic automorphic forms, and overconvergent modular symbols. The 11 Conference papers cover a wide range of themes related to computations with modular forms, including lattice methods for algebraic modular forms on classical groups, a generalization of the Maeda conjecture, an efficient algorithm for special values of p-adic Rankin triple product L-functions, arithmetic aspects and experimental data of Bianchi groups, a theoretical study of the real Jacobian of modular curves, results on computing weight one modular forms, and more.

Recent Progress in Computational Sciences and Engineering (2 vols)

Theodore Simos
Recent Progress in Computational Sciences and Engineering 2 vols Book PDF

Author : Theodore Simos
Publisher : CRC Press
Page : 1297 pages
File Size : 48,6 Mb
Release : 2019-05-07
Category : Computers
ISBN : 9780429527876

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Recent Progress in Computational Sciences and Engineering (2 vols) by Theodore Simos Pdf

This volume brings together selected contributed papers presented at the International Conference of Computational Methods in Science and Engineering (ICCMSE 2006), held in Chania, Greece, October 2006. The conference aims to bring together computational scientists from several disciplines in order to share methods and ideas. The ICCMSE is unique in its kind. It regroups original contributions from all fields of the traditional Sciences, Mathematics, Physics, Chemistry, Biology, Medicine and all branches of Engineering. It would be perhaps more appropriate to define the ICCMSE as a conference on computational science and its applications to science and engineering. Topics of general interest are: Computational Mathematics, Theoretical Physics and Theoretical Chemistry. Computational Engineering and Mechanics, Computational Biology and Medicine, Computational Geosciences and Meteorology, Computational Economics and Finance, Scientific Computation. High Performance Computing, Parallel and Distributed Computing, Visualization, Problem Solving Environments, Numerical Algorithms, Modelling and Simulation of Complex System, Web-based Simulation and Computing, Grid-based Simulation and Computing, Fuzzy Logic, Hybrid Computational Methods, Data Mining, Information Retrieval and Virtual Reality, Reliable Computing, Image Processing, Computational Science and Education etc. More than 800 extended abstracts have been submitted for consideration for presentation in ICCMSE 2005. From these 500 have been selected after international peer review by at least two independent reviewers.

An Introduction to Computational Science

Allen Holder,Joseph Eichholz
An Introduction to Computational Science Book PDF

Author : Allen Holder,Joseph Eichholz
Publisher : Springer
Page : 470 pages
File Size : 50,8 Mb
Release : 2019-06-18
Category : Business & Economics
ISBN : 9783030156794

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An Introduction to Computational Science by Allen Holder,Joseph Eichholz Pdf

This textbook provides an introduction to the growing interdisciplinary field of computational science. It combines a foundational development of numerical methods with a variety of illustrative applications spread across numerous areas of science and engineering. The intended audience is the undergraduate who has completed introductory coursework in mathematics and computer science. Students gain computational acuity by authoring their own numerical routines and by practicing with numerical methods as they solve computational models. This education encourages students to learn the importance of answering: How expensive is a calculation, how trustworthy is a calculation, and how might we model a problem to apply a desired numerical method? The text is written in two parts. Part I provides a succinct, one-term inauguration into the primary routines on which a further study of computational science rests. The material is organized so that the transition to computational science from coursework in calculus, differential equations, and linear algebra is natural. Beyond the mathematical and computational content of Part I, students gain proficiency with elemental programming constructs and visualization, which are presented in MATLAB syntax. The focus of Part II is modeling, wherein students build computational models, compute solutions, and report their findings. The models purposely intersect numerous areas of science and engineering to demonstrate the pervasive role played by computational science.

Introduction to Scientific and Technical Computing

Frank T. Willmore,Eric Jankowski,Coray Colina
Introduction to Scientific and Technical Computing Book PDF

Author : Frank T. Willmore,Eric Jankowski,Coray Colina
Publisher : CRC Press
Page : 266 pages
File Size : 44,5 Mb
Release : 2016-08-19
Category : Computers
ISBN : 9781315351858

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Introduction to Scientific and Technical Computing by Frank T. Willmore,Eric Jankowski,Coray Colina Pdf

Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula. This book contains chapters summarizing the most important topics that computational researchers need to know about. It leverages the viewpoints of passionate experts involved with scientific computing courses around the globe and aims to be a starting point for new computational scientists and a reference for the experienced. Each contributed chapter focuses on a specific tool or skill, providing the content needed to provide a working knowledge of the topic in about one day. While many individual books on specific computing topics exist, none is explicitly focused on getting technical professionals and students up and running immediately across a variety of computational areas.

Elements of Scientific Computing

Aslak Tveito,Hans Petter Langtangen,Bjørn Frederik Nielsen,Xing Cai
Elements of Scientific Computing Book PDF

Author : Aslak Tveito,Hans Petter Langtangen,Bjørn Frederik Nielsen,Xing Cai
Publisher : Springer Science & Business Media
Page : 471 pages
File Size : 55,7 Mb
Release : 2010-09-24
Category : Mathematics
ISBN : 9783642112997

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Elements of Scientific Computing by Aslak Tveito,Hans Petter Langtangen,Bjørn Frederik Nielsen,Xing Cai Pdf

Science used to be experiments and theory, now it is experiments, theory and computations. The computational approach to understanding nature and technology is currently flowering in many fields such as physics, geophysics, astrophysics, chemistry, biology, and most engineering disciplines. This book is a gentle introduction to such computational methods where the techniques are explained through examples. It is our goal to teach principles and ideas that carry over from field to field. You will learn basic methods and how to implement them. In order to gain the most from this text, you will need prior knowledge of calculus, basic linear algebra and elementary programming.

Computational Thinking for Life Scientists

Benny Chor,Amir Rubinstein
Computational Thinking for Life Scientists Book PDF

Author : Benny Chor,Amir Rubinstein
Publisher : Cambridge University Press
Page : 220 pages
File Size : 54,8 Mb
Release : 2022-08-31
Category : Computers
ISBN : 9781108195461

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Computational Thinking for Life Scientists by Benny Chor,Amir Rubinstein Pdf

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy required for any modern biologist to adopt computational approaches in their research with confidence.

Linear Algebra for Computational Sciences and Engineering

Ferrante Neri
Linear Algebra for Computational Sciences and Engineering Book PDF

Author : Ferrante Neri
Publisher : Springer
Page : 574 pages
File Size : 51,7 Mb
Release : 2019-07-26
Category : Computers
ISBN : 9783030213213

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Linear Algebra for Computational Sciences and Engineering by Ferrante Neri Pdf

This book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need, in both research and professional life, an understanding of theoretical concepts of mathematics in order to be able to propose research advances and innovative solutions, every concept is thoroughly introduced and is accompanied by its informal interpretation. Furthermore, most of the theorems included are first rigorously proved and then shown in practice by a numerical example. When appropriate, topics are presented also by means of pseudocodes, thus highlighting the computer implementation of algebraic theory. It is structured to be accessible to everybody, from students of pure mathematics who are approaching algebra for the first time to researchers and graduate students in applied sciences who need a theoretical manual of algebra to successfully perform their research. Most importantly, this book is designed to be ideal for both theoretical and practical minds and to offer to both alternative and complementary perspectives to study and understand linear algebra.

Open Problems in Mathematics and Computational Science

Çetin Kaya Koç
Open Problems in Mathematics and Computational Science Book PDF

Author : Çetin Kaya Koç
Publisher : Springer
Page : 439 pages
File Size : 44,6 Mb
Release : 2015-03-25
Category : Computers
ISBN : 9783319106830

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Open Problems in Mathematics and Computational Science by Çetin Kaya Koç Pdf

This book presents interesting, important unsolved problems in the mathematical and computational sciences. The contributing authors are leading researchers in their fields and they explain outstanding challenges in their domains, first by offering basic definitions, explaining the context, and summarizing related algorithms, theorems, and proofs, and then by suggesting creative solutions. The authors feel a strong motivation to excite deep research and discussion in the mathematical and computational sciences community, and the book will be of value to postgraduate students and researchers in the areas of theoretical computer science, discrete mathematics, engineering, and cryptology.

Transactions on Computational Science XXXVIII

Marina L. Gavrilova,C.J. Kenneth Tan
Transactions on Computational Science XXXVIII Book PDF

Author : Marina L. Gavrilova,C.J. Kenneth Tan
Publisher : Springer Nature
Page : 145 pages
File Size : 55,7 Mb
Release : 2021-03-24
Category : Computers
ISBN : 9783662631706

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Transactions on Computational Science XXXVIII by Marina L. Gavrilova,C.J. Kenneth Tan Pdf

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing. It addresses researchers and practitioners in areas ranging from aerospace to biochemistry, from electronics to geosciences, from mathematics to software architecture, presenting verifiable computational methods, findings, and solutions, and enabling industrial users to apply techniques of leading-edge, large-scale, high performance computational methods. This, the 38th issue of the Transactions on Computational Science, is devoted to research on modelling, optimization, and graphs, with applications in 3D and sketch modelling, engineering design, evolutionary computing, and networks.

Uncertainty Quantification and Predictive Computational Science

Ryan G. McClarren
Uncertainty Quantification and Predictive Computational Science Book PDF

Author : Ryan G. McClarren
Publisher : Springer
Page : 345 pages
File Size : 53,7 Mb
Release : 2018-11-23
Category : Science
ISBN : 9783319995250

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Uncertainty Quantification and Predictive Computational Science by Ryan G. McClarren Pdf

This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties. It addresses a critical knowledge gap in the widespread adoption of simulation in high-consequence decision-making throughout the engineering and physical sciences. Constructing sophisticated techniques for prediction from basic building blocks, the book first reviews the fundamentals that underpin later topics of the book including probability, sampling, and Bayesian statistics. Part II focuses on applying Local Sensitivity Analysis to apportion uncertainty in the model outputs to sources of uncertainty in its inputs. Part III demonstrates techniques for quantifying the impact of parametric uncertainties on a problem, specifically how input uncertainties affect outputs. The final section covers techniques for applying uncertainty quantification to make predictions under uncertainty, including treatment of epistemic uncertainties. It presents the theory and practice of predicting the behavior of a system based on the aggregation of data from simulation, theory, and experiment. The text focuses on simulations based on the solution of systems of partial differential equations and includes in-depth coverage of Monte Carlo methods, basic design of computer experiments, as well as regularized statistical techniques. Code references, in python, appear throughout the text and online as executable code, enabling readers to perform the analysis under discussion. Worked examples from realistic, model problems help readers understand the mechanics of applying the methods. Each chapter ends with several assignable problems. Uncertainty Quantification and Predictive Computational Science fills the growing need for a classroom text for senior undergraduate and early-career graduate students in the engineering and physical sciences and supports independent study by researchers and professionals who must include uncertainty quantification and predictive science in the simulations they develop and/or perform.

Fundamentals of Scientific Computing

Bertil Gustafsson
Fundamentals of Scientific Computing Book PDF

Author : Bertil Gustafsson
Publisher : Springer Science & Business Media
Page : 317 pages
File Size : 53,6 Mb
Release : 2011-06-11
Category : Mathematics
ISBN : 9783642194955

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Fundamentals of Scientific Computing by Bertil Gustafsson Pdf

The book of nature is written in the language of mathematics -- Galileo Galilei How is it possible to predict weather patterns for tomorrow, with access solely to today’s weather data? And how is it possible to predict the aerodynamic behavior of an aircraft that has yet to be built? The answer is computer simulations based on mathematical models – sets of equations – that describe the underlying physical properties. However, these equations are usually much too complicated to solve, either by the smartest mathematician or the largest supercomputer. This problem is overcome by constructing an approximation: a numerical model with a simpler structure can be translated into a program that tells the computer how to carry out the simulation. This book conveys the fundamentals of mathematical models, numerical methods and algorithms. Opening with a tutorial on mathematical models and analysis, it proceeds to introduce the most important classes of numerical methods, with finite element, finite difference and spectral methods as central tools. The concluding section describes applications in physics and engineering, including wave propagation, heat conduction and fluid dynamics. Also covered are the principles of computers and programming, including MATLAB®.