a Matlab Based

Numerical Methods in Finance and Economics: A MATLAB-Based Introduction, 2nd Edition (repost)

Paolo Brandimarte, "Numerical Methods in Finance and Economics: A MATLAB-Based Introduction, 2nd Edition"
English | 2006 | ISBN: 0471745030 | 696 pages | PDF | 33 MB

Strategic Asset Allocation in Fixed Income Markets: A Matlab Based User's Guide  eBooks & eLearning

Posted by step778 at Nov. 2, 2023
Strategic Asset Allocation in Fixed Income Markets: A Matlab Based User's Guide

Ken Nyholm, "Strategic Asset Allocation in Fixed Income Markets: A Matlab Based User's Guide"
English | 2008 | pages: 187 | ISBN: 0470753625 | PDF | 2,4 mb
From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming

From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming
(EURO Advanced Tutorials on Operational Research)
by Paolo Brandimarte

English | 2021 | ISBN: 3030618668 | 207 Pages | PDF EPUB | 15 MB

Control of Noise and Structural Vibration: A MATLAB®-Based Approach (Repost)  eBooks & eLearning

Posted by zxcvbn at Nov. 3, 2020
Control of Noise and Structural Vibration: A MATLAB®-Based Approach (Repost)

Control of Noise and Structural Vibration: A MATLAB®-Based Approach By Qibo Mao, Stanislaw Pietrzko
2013 | 369 Pages | ISBN: 1447150902 | True PDF | 10 MB
Spectrum Sharing Between Radars and Communication Systems: A MATLAB Based Approach (Repost)

Spectrum Sharing Between Radars and Communication Systems: A MATLAB Based Approach by Awais Khawar
English | PDF | 2018 | 115 Pages | ISBN : 3319566830 | 2.5 MB

This book presents spectrum sharing efforts between cellular systems and radars. The book addresses coexistence algorithms for radar and communication systems. Topics include radar and cellular system models; spectrum sharing with small radar systems; spectrum sharing with large radar systems; radar spectrum sharing with coordinated multipoint systems (CoMP); and spectrum sharing with overlapped MIMO radars.

Control of Noise and Structural Vibration: A MATLAB®-Based Approach (Repost)  eBooks & eLearning

Posted by insetes at Feb. 4, 2019
Control of Noise and Structural Vibration: A MATLAB®-Based Approach (Repost)

Control of Noise and Structural Vibration: A MATLAB®-Based Approach By Qibo Mao, Stanislaw Pietrzko (auth.)
2013 | 369 Pages | ISBN: 1447150902 | PDF | 11 MB

Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Repost)  eBooks & eLearning

Posted by step778 at Aug. 11, 2020
Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Repost)

Paolo Brandimarte, "Numerical Methods in Finance and Economics: A MATLAB-Based Introduction"
English | 2006 | pages: 696 | ISBN: 0471745030 | DJVU | 4,8 mb

Numerical Methods in Finance: A MATLAB-Based Introduction  eBooks & eLearning

Posted by alt_f4 at Jan. 12, 2017
Numerical Methods in Finance: A MATLAB-Based Introduction

Numerical Methods in Finance: A MATLAB-Based Introduction by Paolo Brandimarte
English | Oct. 12, 2001 | ISBN: 0471396869 | 429 Pages | PDF | 15 MB

Balanced coverage of the methodology and theory of numerical methods in finance

Numerical Methods in Finance bridges the gap between financial theory and computational practice while helping students and practitioners exploit MATLAB for financial applications.
MIMO Radar Waveform Design for Spectrum Sharing with Cellular Systems: A MATLAB Based Approach (Repost)

MIMO Radar Waveform Design for Spectrum Sharing with Cellular Systems: A MATLAB Based Approach By Awais Khawar, Ahmed Abdelhadi, T. Charles Clancy
2016 | 76 Pages | ISBN: 3319297236 | PDF | 2 MB

Applied Signal Processing: A MATLAB™-Based Proof of Concept (Repost)  eBooks & eLearning

Posted by AvaxGenius at Oct. 7, 2018
Applied Signal Processing: A MATLAB™-Based Proof of Concept (Repost)

Applied Signal Processing: A MATLAB™-Based Proof of Concept by Thierry Dutoit
English | PDF | 2009 | 471 Pages | ISBN : 0387745343 | 40.19 MB

This is a project-oriented laboratory book with online supplementary files focused on digital signal processing (DSP) for students, instructors and professionals. The authors provide eleven large and detailed projects which take the reader through the essentials of signal processing applications. Included are MATLAB codes which are fully commented on for developing working proofs of concepts. The accompanying online material together with the text directly integrates theory into practice.