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Tag Archives: quickly
Watch Matlab do parallel computing on a GPU very easily and quickly? Why use R, Hadoop, MapReduce, HBASE, etc?
Watch Matlab do parallel computing on a GPU very easily and quickly? Why use R, Hadoop, MapReduce, HBASE, etc?
If you watched this webinar, you would be asking yourself several many questions:
- Why use R which seems kind of premature compared to Matlab?
- 2Even if you used this Revolutionary Analytics project with Hadoop, you still have so much to set up and manage compared to Matlab’s Parallel Toolbox. This R project is no where complete as compared to the maturity of Matlab.
Regardless of cost, I still feel this makes you much more productive as compared to setting and up managing hardware and underlying technologies like Hadoop/HBASE/MapReduce etc with R. It just seems to me, it would not add up as compared to the productivity you get out box with Matlab. Sometimes the cost of time needs to be factored into something like open source technologies which are free. Just my worthless two cents.
Parallel Computing with MATLAB in Computational Finance
http://www.mathworks.com/company/events/webinars/wbnr51891.html?id=51891&p1=801727294&p2=801727312
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Learning quant quickly? My review of FREE Multivariable Calculus By George Cain & James Herod
Learning quant quickly? My review of FREE Multivariable Calculus By George Cain & James Herod
So In finished reading this Multivariate Calculus book
http://quantlabs.net/labs/quant-books/doc_details/800-multivariable-calculus?tmpl=component
It seems this book is really designed for more advanced calculus users as there are some assumptions of knowledge. Still it is a very good resource if you trying to learn quant, but when your head is spinning after Paul WIlmott or John Hull, this would be a good resource to understand some of the calculus terminology thrown around. If you still don’t get it (like me), you may want to further investigate on good YouTube channels (like Khan Academy) some of the key terms listed below from the book’s table of contents:
Chapter One – Euclidean Three Space
1.1 Introduction
1.2 Coordinates in Three-Space
1.3 Some Geometry
1.4 Some More Geometry–Level Sets
Chapter Two – Vectors–Algebra and Geometry
2.1 Vectors
2.2 Scalar Product
2.3 Vector Product
Chapter Three – Vector Functions
3.1 Relations and Functions
3.2 Vector Functions
3.3 Limits and Continuity
Chapter Four – Derivatives
4.1 Derivatives
4.2 Geometry of Space Curves–Curvature
4.3 Geometry of Space Curves–Torsion
4.4 Motion
Chapter Five – More Dimensions
5.1 The space Rn
5.2 Functions
Chapter Six – Linear Functions and Matrices
6.1 Matrices
6.2 Matrix Algebra
Chapter Seven – Continuity, Derivatives, and All That
7.1 Limits and Continuity
7.2 Derivatives
7.3 The Chain Rule
Chapter Eight – f:Rn-› R
8.1 Introduction
8.2 The Directional Derivative
8.3 Surface Normals
8.4 Maxima and Minima
8.5 Least Squares
8.6 More Maxima and Minima
8.7 Even More Maxima and Minima
Chapter Nine – The Taylor Polynomial
9.1 Introduction
9.2 The Taylor Polynomial
9.3 Error
Supplementary material for Taylor polynomial in several variables.
Chapter Ten – Sequences, Series, and All That
10.1 Introduction
10.2 Sequences
10.3 Series
10.4 More Series
10.5 Even More Series
10.6 A Final Remark
Chapter Eleven – Taylor Series
11.1 Power Series
11.2 Limit of a Power Series
11.3 Taylor Series
Chapter Twelve – Integration
12.1 Introduction
12.2 Two Dimensions
Chapter Thirteen – More Integration
13.1 Some Applications
13.2 Polar Coordinates
13.3 Three Dimensions
Chapter Fourteen – One Dimension Again
14.1 Scalar Line Integrals
14.2 Vector Line Integrals
14.3 Path Independence
Chapter Fifteen – Surfaces Revisited
15.1 Vector Description of Surfaces
15.2 Integration
Chapter Sixteen – Integrating Vector Functions
16.1 Introduction
16.2 Flux
Chapter Seventeen – Gauss and Green
17.1 Gauss’s Theorem
17.2 Green’s Theorem
17.3 A Pleasing Application
Chapter Eighteen – Stokes
18.1 Stokes’s Theorem
18.2 Path Independence Revisited
Chapter Ninteen – Some Physics
19.1 Fluid Mechanics
19.2 Electrostatics
George Cain & James H
Of course some of the topics do apply to quant but others do not so you can omit what you don’t want to read.
Now I got to read that 1000 page linear algebra book now I would probably start with this before even touching the above calculus book. There is some mention of algebra as well s that confusing math manipulation I can never get.
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