Open AccessBook
Numerical Recipes 3rd Edition: The Art of Scientific Computing
Reads0
Chats0
TLDR
This new edition incorporates more than 400 Numerical Recipes routines, many of them new or upgraded, and adopts an object-oriented style particularly suited to scientific applications.Abstract:
Co-authored by four leading scientists from academia and industry, Numerical Recipes Third Edition starts with basic mathematics and computer science and proceeds to complete, working routines. Widely recognized as the most comprehensive, accessible and practical basis for scientific computing, this new edition incorporates more than 400 Numerical Recipes routines, many of them new or upgraded. The executable C++ code, now printed in color for easy reading, adopts an object-oriented style particularly suited to scientific applications. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Please visit www.nr.com or www.cambridge.org/us/numericalrecipes for more details. New key features: 2 new chapters, 25 new sections, 25% longer than Second Edition Thorough upgrades throughout the text Over 100 completely new routines and upgrades of many more. New Classification and Inference chapter, including Gaussian mixture models, HMMs, hierarchical clustering, Support Vector MachinesNew Computational Geometry chapter covers KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres New sections include interior point methods for linear programming, Monte Carlo Markov Chains, spectral and pseudospectral methods for PDEs, and many new statistical distributions An expanded treatment of ODEs with completely new routines Plus comprehensive coverage of linear algebra, interpolation, special functions, random numbers, nonlinear sets of equations, optimization, eigensystems, Fourier methods and wavelets, statistical tests, ODEs and PDEs, integral equations, and inverse theory And much, much more! Visit the authors' web site for information about electronic subscriptions www.nr.com/aboutNR3book.htmlread more
Citations
More filters
Posted Content
Liquid Time-constant Networks
TL;DR: This work introduces a new class of time-continuous recurrent neural network models that construct networks of linear first-order dynamical systems modulated via nonlinear interlinked gates, and demonstrates the approximation capability of Liquid Time-Constant Networks (LTCs) compared to modern RNNs.
Journal ArticleDOI
Two color populations of kuiper belt and centaur objects and the smaller orbital inclinations of red centaur objects
TL;DR: The authors presented new optical colors for 28 Kuiper Belt objects (KBOs) and 35 Centaur objects measured with the 1.8 m Vatican Advanced Technology Telescope and the 4.3 m Discovery Channel Telescope.
Journal ArticleDOI
Neuronal avalanche dynamics indicates different universality classes in neuronal cultures.
Mohammad Hassan Yaghoubi,Ty de Graaf,Javier G. Orlandi,Fernando Girotto,Michael A. Colicos,Jörn Davidsen +5 more
TL;DR: It is shown that for both types of cultures pronounced correlations exist in the sizes of neuronal avalanches indicating size clustering, being much stronger in folate reared cultures, suggesting that network topology plays a leading role in shaping the avalanche dynamics.
Journal ArticleDOI
Probing the Local Velocity Distribution of WIMP Dark Matter with Directional Detectors
TL;DR: In this article, the authors explore the ability of directional nuclear-recoil detectors to constrain the local velocity distribution of weakly interacting massive particle (WIMP) dark matter by performing Bayesian parameter estimation on simulated recoil-event data sets.
Book ChapterDOI
Types for units-of-measure: theory and practice
TL;DR: In science and engineering, dimensional and unit consistency provides a first check on the correctness of an equation or formula, just as in programming the validation of a program by the type-checker eliminates one possible reason for failure.