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Modern development of science and technology is based to a large degree on computer modelling. To understand the principles and techniques of computer modelling, students should first get a strong background in classical numerical methods, which are the subject of this book. This text is intended for use in a numerical methods course for engineering and science students, but will also be useful as a handbook on numerical techniques for research students.Essentials of Scientific Computing is as self-contained as possible and considers a variety of methods for each type of problem discus
Computer science --- Numerical analysis --- Mathematics. --- Data processing. --- Computer mathematics --- Electronic data processing --- Mathematics
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Mathematics --- Computer science --- Informatique --- Congresses. --- Mathématiques --- Congrès --- Mathématique discrète. --- Mathematics. --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Computer Science
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Computer science --- Algorithms --- Mathematics --- Periodicals --- Algorithms. --- Mathematics. --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Algorism --- Algebra --- Arithmetic --- Foundations
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Tensor algebra --- Data processing. --- Algebra, Tensor --- Algebras, Linear --- Tensor products --- Computer science --- Mathematics. --- Computer mathematics --- Electronic data processing --- Mathematics --- Data processing
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Mathematics --- Computer science --- Informatique --- Periodicals --- Mathématiques --- Périodiques --- Mathématiques --- Périodiques. --- Mathematical Sciences --- Combinatorics --- Applied Mathematics --- Mathematical Sciences. --- Combinatorics. --- Périodiques --- EJINFOR EJMATHE ELSEVIER-E EPUB-ALPHA-D EPUB-PER-FT --- Matematikk --- Mathematics. --- Computer mathematics --- Discrete mathematics --- Electronic data processing
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Mathematical analysis --- Numerical analysis --- Computer science --- Mathematical analysis. --- Numerical analysis. --- Mathematics. --- Mathematics --- Advanced calculus --- Analysis (Mathematics) --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- 517.1 Mathematical analysis --- Algebra --- Mathematical Sciences --- Applied Mathematics
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Computer science --- Mathematics --- Informatique --- Mathématiques --- Periodicals. --- Périodiques --- mathematics --- computer science --- Information Technology --- Mathematical Sciences --- Computer Architecture, Languages and Compilers --- Modelling & Simulation --- Applied Mathematics --- Combinatorics --- General and Others --- Mathematical Analysis & Logic --- Mathematics. --- Math --- Science --- Computer mathematics --- Electronic data processing
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Mathematics for Electrical Engineering and Computing embraces many applications of modern mathematics, such as Boolean Algebra and Sets and Functions, and also teaches both discrete and continuous systems - particularly vital for Digital Signal Processing (DSP). In addition, as most modern engineers are required to study software, material suitable for Software Engineering - set theory, predicate and prepositional calculus, language and graph theory - is fully integrated into the book.Excessive technical detail and language are avoided, recognising that the real requirement for
Computer science - Mathematics. --- Electric engineering - Mathematics. --- Electric engineering--Mathematics. Computer science--Mathematics. --- Electrical engineering --- Computer science --- Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Mathematics --- Mathematics. --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Engineering mathematics
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Until recently, all of the interactions between objects in virtual 3D worlds have been based on calculations performed using linear algebra. Linear algebra relies heavily on coordinates, however, which can make many geometric programming tasks very specific and complex-often a lot of effort is required to bring about even modest performance enhancements. Although linear algebra is an efficient way to specify low-level computations, it is not a suitable high-level language for geometric programming. Geometric Algebra for Computer Science presents a compelling alternative to the limit
Geometry, Algebraic. --- Computer science --- Object-oriented methods (Computer science) --- Mathematics. --- Object development methods (Computer science) --- Object orientation (Computer science) --- Object-oriented development (Computer science) --- Object technology (Computer science) --- System design --- Computer mathematics --- Electronic data processing --- Mathematics --- Algebraic geometry --- Geometry
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This volume introduces a unified, self-contained study of linear discrete parabolic problems through reducing the starting discrete problem to the Cauchy problem for an evolution equation in discrete time. Accessible to beginning graduate students, the book contains a general stability theory of discrete evolution equations in Banach space and gives applications of this theory to the analysis of various classes of modern discretization methods, among others, Runge-Kutta and linear multistep methods as well as operator splitting methods. Key features: * Presents a unified ap
Computer. Automation --- Stability. --- Runge-Kutta formulas. --- Differential equations. --- Computer science --- Mathematics. --- Computer mathematics --- Electronic data processing --- Mathematics --- 517.91 Differential equations --- Differential equations --- Runge-Kutta methods --- Dynamics --- Mechanics --- Motion --- Vibration --- Benjamin-Feir instability --- Equilibrium --- Numerical solutions
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