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Real and complex exponential data fitting is an important activity in many different areas of science and engineering, ranging from Nuclear Magnetic Resonance Spectroscopy and Lattice Quantum Chromodynamics to Electrical and Chemical Engineering, Vision and Robotics. The most commonly used norm in the approximation by linear combinations of exponentials is the l2 norm (sum of squares of residuals), in which case one obtains a nonlinear separable least squares problem. A number of different methods have been proposed through the years to solve these types of problems and new applications appear
Exponential functions.  Functions, Exponential  Hyperbolic functions  Exponents (Algebra)  Logarithms  Transcendental functions
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The Role of Mathematics in Science aims to illustrate the many ways in which mathematical methods have helped discovery in science. It is aimed at a group of readers who are interested in mathematics beyond the level of high school. The authors occasionally use some calculus and more intricate arguments. The book should appeal to college students and general readers with some background in mathematics. The authors state that, 'If we succeed in giving an impression of the beauty and power of mathematical reasoning in science, the purpose of our work will have been achieved.' This book includes the laws of levers and inclined planes, the laws of exponential versus limited population growth, ray optics, and relativity.
Exponential functions.  Mathematical analysis.  517.1 Mathematical analysis  Mathematical analysis  Functions, Exponential  Hyperbolic functions  Exponents (Algebra)  Logarithms  Transcendental functions
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A detailed exposition, with applications to problems in potential theory and quantum field theory.
Green's functions.  Exponential functions.  Mathematical physics.  Physical mathematics  Physics  Functions, Exponential  Hyperbolic functions  Exponents (Algebra)  Logarithms  Transcendental functions  Functions, Green's  Functions, Induction  Functions, Source  Green functions  Induction functions  Source functions  Differential equations  Potential theory (Mathematics)  Mathematics
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Today most computer scientists believe that NPhard problems cannot be solved by polynomialtime algorithms. From the polynomialtime perspective, all NPcomplete problems are equivalent but their exponentialtime properties vary widely. Why do some NPhard problems appear to be easier than others? Are there algorithmic techniques for solving hard problems that are significantly faster than the exhaustive, bruteforce methods? The algorithms that address these questions are known as exact exponential algorithms. The history of exact exponential algorithms for NPhard problems dates back to the 1960s. The two classical examples are Bellman, Held and Karp’s dynamic programming algorithm for the traveling salesman problem and Ryser’s inclusion–exclusion formula for the permanent of a matrix. The design and analysis of exact algorithms leads to a better understanding of hard problems and initiates interesting new combinatorial and algorithmic challenges. The last decade has witnessed a rapid development of the area, with many new algorithmic techniques discovered. This has transformed exact algorithms into a very active research field. This book provides an introduction to the area and explains the most common algorithmic techniques, and the text is supported throughout with exercises and detailed notes for further reading. The book is intended for advanced students and researchers in computer science, operations research, optimization and combinatorics. .
Computer algorithms.  Computers  Mathematics.  Electronic books.  local.  Exponential functions.  Engineering & Applied Sciences  Computer Science  Mathematics.  Computer programming.  Algorithms.  Mathematical optimization.  Discrete mathematics.  Combinatorics.  Discrete Mathematics.  Optimization.  Programming Techniques.  Algorithm Analysis and Problem Complexity.  Computer science.  Computer software.  Combinatorics  Algebra  Mathematical analysis  Optimization (Mathematics)  Optimization techniques  Optimization theory  Systems optimization  Maxima and minima  Operations research  Simulation methods  System analysis  Software, Computer  Computer systems  Informatics  Science  Combinatorial analysis.  Algorism  Arithmetic  Computers  Electronic computer programming  Electronic data processing  Electronic digital computers  Programming (Electronic computers)  Coding theory  Discrete mathematical structures  Mathematical structures, Discrete  Structures, Discrete mathematical  Numerical analysis  Foundations  Programming
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