The Matrix Cookbook

Main
Mathematics - Algebra
The Matrix Cookbook

The Matrix Cookbook

Kaare Brandt Petersen, Michael Syskind Pedersen

0 / 0

यह पुस्तक आपको कितनी अच्छी लगी?

फ़ाइल की गुणवत्ता क्या है?

पुस्तक की गुणवत्ता का मूल्यांकन करने के लिए यह पुस्तक डाउनलोड करें

डाउनलोड की गई फ़ाइलों की गुणवत्ता क्या है?

श्रेणियाँ:

Mathematics - Algebra

साल:

2012

संस्करण:

November 15, 2012

भाषा:

english

पृष्ठ:

72

फ़ाइल:

PDF, 676 KB

IPFS:

,

english, 2012

ऑनलाइन पढ़ें

में रूपांतरण जारी है

में रूपांतरण विफल रहा

आप के लिए दिलचस्प हो सकता है

Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola — Dive into Deep Learning

矩阵分析与应用习题解答-张贤达 — 矩阵分析与应用习题解答-张贤达

Stephen Boyd, Lieven Vandenberghe — Convex Optimization, Solutions Manual

Green, Betty — Matrix Code Cookbook: Recipes That Will Get You a Ticket to the Virtual World

Brandt Petersen — The Matrix Cookbook

Ian Goodfellow, Yoshua Bengio and Aaron Courville — Deep Learning

Gilbert Strang — Linear Algebra and Learning from Data

Georgi E. Shilov — Linear Algebra

Trevor Hastie, Robert Tibshirani, Jerome Friedman — The Elements of Statistical Learning: Data Mining, Inference, and Prediction.

Stephen Boyd, Lieven Vandenberghe — Additional Exercises for Convex Optimization (with Solutions)

Daniele Bertaccini; Fabio Durastante — Iterative Methods and Preconditioning for Large and Sparse Linear Systems with Applications (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)

Andrew Ng — Machine Learning Yearning (Draft Version)

《赵紫阳文集》编辑组编 — 赵紫阳文集（1980—1989）

[日]须田信英曹长修译 Made by jdg@hit — 自动控制中的矩阵理论

Carl D. Meyer — Matrix Analysis and Applied Linear Algebra

公司法的经济结构中译本第2版=THE ECONOMIC STRUCTURE OF CORPORATE LAW — 公司法的经济结构中译本第2版=THE ECONOMIC STRUCTURE OF CORPORATE LAW

Peter S. Maybeck — Stochastic Models, Estimation and Control Volume 1

Thomas Kailath, Ali H. Sayed, Babak Hassibi — Linear Estimation

Georgi E. Shilov, Richard A. Silvermann — Linear Algebra

Christoph Molnar — Interpretable Machine Learning

Ian Goodfellow, Yoshua Bengio, Aaron Courville — Deep Learning.

David G. Luenberger — Introduction to Dynamic Systems: Theory, Models, and Applications

David S. Watkins — Fundamentals of Matrix Computations

Jan R. Magnus, Heinz Neudecker — Matrix Differential Calculus with Applications in Statistics and Econometrics, 3rd Edition

Georgi E. Shilov — Linear Algebra

Stephen Boyd, Lieven Vandenberghe — Convex Optimization

Richard L. Burden, J Douglas Faires — Instructor's Manual for Numerical Analysis 8th ed.

Philip N. Klein — Coding the Matrix: Linear Algebra through Computer Science Applications

João P. Hespanha — Linear Systems Theory

Dennis S. Bernstein — Matrix Mathematics: Theory, Facts, and Formulas: Second Edition

Fan R. K. Chung — Spectral Graph Theory (CBMS Regional Conference Series in Mathematics, No. 92)

Carl D. Meyer — Matrix Analysis and Applied Linear Algebra & Solutions Manual

Alan J. Laub — Matrix Analysis for Scientists and Engineers

Andreas Griewank, Andrea Walther — Evaluating derivatives: principles and techniques of algorithmic differentiation

Biswa Nath Datta — Numerical Linear Algebra and Applications

Ivan Savov — No Bullshit Guide to Linear Algebra

Steve Marschner , Peter Shirley — Fundamentals of Computer Graphics

Garcia Stephan Ramon; Horn Roger A. — A second course in linear algebra

Marvin H. J. Gruber — Matrix Algebra for Linear Models

Turkington, Darrell A. — Generalized vectorization, cross-products, and matrix calculus

Stephen Boyd, Lieven Vandenberghe — Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares

Gene H. Golub, Charles F. Van Loan — Matrix Computations

सबसे उपयोगी शब्द