Numerical analysis
This category focuses on numerical analysis, a crucial area of applied mathematics that deals with algorithms for solving mathematical problems numerically. It includes a wide range of topics essential for students and professionals in science and engineering, emphasizing practical methods and techniques. The content appeals to those seeking to deepen their understanding of computation and its application in real-world scenarios.
All of Statistics: A Concise Course in Statistical Inference
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Advances in Dynamic Game Theory and Applications
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Wave Propagation in Viscoelastic and Poroelastic Continua: A Boundary Element Approach
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Supercavitation: Advances and Perspectives. A collection dedicated to the 70th jubilee of Yu.N.Savchenko
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Mathematical Analysis: A Very Short Introduction: A Very Short Introduction
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Numerical Methods for Partial Differential Equations
P. Yardley, J. Blackledge, G. Evans
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Continuous System Simulation
François E. Cellier, Ernesto Kofman
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Numerical Mathematics
Riccardo Sacco, Alfio Quarteroni, Fausto Saleri
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Numerical Models for Differential Problems
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Structural Analysis with the Finite Element Method. Linear Statics: Volume 2: Beams, Plates and Shells
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Computational Methods for Fluid Dynamics
Milovan Peri¿, Joel H. Ferziger, Robert L. Street
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How to Make the World Add Up: Ten Rules for Thinking Differently About Numbers
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The Finite Volume Method in Computational Fluid Dynamics: An Advanced Introduction with OpenFOAM® and Matlab
L. Mangani, M. Darwish, F. Moukalled
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MATLAB and Simulink Crash Course for Engineers
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Parallel Programming: for Multicore and Cluster Systems
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Mathematical Methods in Data Science
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EXPLORATIONS NUMERICAL ANALYSIS & MACHINE LEARN WITH JULIA
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Advanced Quantitative Finance with Modern C++: Interest Rate Modeling and Advanced Derivatives
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Octonion Sparse-Based Image Processing: Multispectral Imaging and Feature Extraction
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Handbook of Historical Animal Studies
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Dots and Lines: Hidden Networks in Social Media, AI, and Nature
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Numerical Analysis for Elliptic Optimal Control Problems
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Computational Mathematics in Engineering: Proceedings of ICCMA 2025
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Computational Optimization: Machine Learning and Fuzzy Systems
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Parallel Virtual Machine - EuroPVM96: Third European PVM Conference, Munich, Germany, October, 7 - 9, 1996. Proceedings
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Numerical Computation 1: Methods, Software, and Analysis
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Category „Numerical analysis“
Numerical analysis is a fundamental branch of mathematics that focuses on algorithms for approximating solutions to mathematical problems. This category serves students, researchers, and professionals in fields such as engineering, physics, and computer science, offering a wealth of resources for those who rely on numerical methods to solve complex equations and model real-world phenomena.
The history of numerical analysis dates back centuries, with early methods being developed for solving equations and performing calculations before the advent of modern computing. Today, numerical analysis encompasses a range of topics, including interpolation, numerical integration, and the study of differential equations, providing readers with the tools to tackle both theoretical and practical challenges.
Readers interested in numerical analysis benefit from a deeper understanding of how to design and analyze algorithms for a variety of applications. The skills gained from studying this discipline not only enhance problem-solving abilities but also foster a greater appreciation for the underlying mathematical concepts that drive technological advancements in various industries.
This category features works from esteemed authors and respected publishers who specialize in mathematics and computational science. Their insights and research contribute to the ongoing evolution of numerical analysis, ensuring that readers have access to the latest methodologies and trends that shape the future of this essential field.