00000cam a22000003i 4500 UP-1685594773862157901 Buklod 20240215121058.0 g||| | || || ta 190226s2016 flua rb |001 0|eng d 9781498757775 (Hardback) (iLib)UPBAG-00033089616 BC-70875 Fastbooks Educational Supply, Inc. Php7,995.00 DMCS Faculty DLC BAG rda eng Q 183.9 X84 2016 Xue, Dingyu author. Scientific computing with MATLAB Dingyu Xue, Yangquan Chen. Second edition. Boca Raton, FL CRC Press, Taylor & Francis Group [2016] xvii, 586 pages illustrations 26 cm text rdacontent unmediated rdamedia volume rdacarrier "A Chapman & Hall Book." Includes bibliographical references and index. Computer Mathematics Languages An Overview -- Computer Solutions to Mathematics Problems -- Summary of Computer Mathematics Languages -- Outline of the Book -- Fundamentals of MATLAB Programming and Scientific Visualization -- Essentials in MATLAB Programming -- Fundamental Mathematical Calculations -- Flow Control Structures of MATLAB Language -- Writing and Debugging MATLAB Functions -- Two-Dimensional Graphics -- Three-Dimensional Graphics -- Four-Dimensional Visualization -- Calculus Problems -- Analytical Solutions to Limit Problems -- Analytical Solutions to Derivative Problems -- Analytical Solutions to Integral Problems -- Series Expansions and Finite-Term Series Approximations -- Infinite Series and Products -- Path Integrals and Line Integrals -- Surface Integrals -- Numerical Differentiation -- Numerical Integration Problems -- Linear Algebra Problems -- Inputting Special Matrices -- Fundamental Matrix Operations -- Fundamental Matrix Transformations -- Solving Matrix Equations -- Nonlinear Functions and Matrix Function Evaluations -- Integral Transforms and Complex-Valued Functions -- Laplace Transforms and Their Inverses -- Fourier Transforms and Their Inverses -- Other Integral Transforms -- z Transforms and Their Inverses -- Essentials of Complex-Valued Functions -- Solving Complex-Valued Function Problems -- Solutions of Difference Equations -- Nonlinear Equations and Numerical Optimization Problems -- Nonlinear Algebraic Equations -- Nonlinear Equations with Multiple Solutions -- Unconstrained Optimization Problems -- Constrained Optimization Problems -- Mixed Integer Programming Problems -- Linear Matrix Inequalities -- Solutions of Multi-Objective Programming Problems -- Dynamic Programming and Shortest Path Planning -- Differential Equation Problems -- Analytical Solution Methods for Some Ordinary Differential Equations -- Numerical Solutions to Ordinary Differential Equations -- Transforms to Standard Differential Equations -- Solutions to Special Ordinary Differential Equations -- Solutions to Delay Differential Equations -- Solving Boundary Value Problems -- Introduction to Partial Differential Equations -- Solving ODEs with Block Diagrams in Simulink -- Data Interpolation and Functional Approximation Problems -- Interpolation and Data Fitting -- Spline Interpolation and Numerical Calculus -- Fitting Mathematical Models from Data -- Rational Function Approximations -- Special Functions and Their Plots -- Signal Analysis and Digital Signal Processing -- Probability and Mathematical Statistics Problems -- Probability Distributions and Pseudorandom Numbers -- Solving Probability Problems -- Fundamental Statistical Analysis -- Statistical Estimations -- Statistical Hypothesis Tests -- Analysis of Variance -- Principal Component Analysis -- Topics on Nontraditional Mathematical Branches -- Fuzzy Logic and Fuzzy Inference -- Rough Set Theory and Its Applications -- Neural Network and Applications in Data Fitting Problems -- Evolutionary Computing and Global Optimization Problem Solutions -- Wavelet Transform and Its Applications in Data Processing -- Fractional-Order Calculus -- MATLAB Functions. Scientific Computing with MATLAB®, Second Edition improves students? ability to tackle mathematical problems. It helps students understand the mathematical background and find reliable and accurate solutions to mathematical problems with the use of MATLAB, avoiding the tedious and complex technical details of mathematics. This edition retains the structure of its predecessor while expanding and updating the content of each chapter.The book bridges the gap between problems and solutions through well-grouped topics and clear MATLAB example scripts and reproducible MATLAB-generated plots. Students can effortlessly experiment with the scripts for a deep, hands-on exploration. Each chapter also includes a set of problems to strengthen understanding of the material. Science Data processing. Chen, YangQuan 1966- author. FO UPBAG UPBAG-MAIN Q 183.9 X84 2016 Book