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Free Download Linear Algebra Part 4 (Echelon Matrix & Normal Form Matrix) Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.06 GB | Duration: 5h 8m Echelon matrix , Normal Form of matrix, linear algebra, vector spaces, basis and dimension , Rank of matrix What you'll learn Knowledge of Echelon Matrices and Normal form of Matrix Determining the Basis and Dimension of Subspaces, Sum of Subspaces and Intersection of Subspaces including the Rank Elementary Row and Column Operations on Matrices Determining the Non Singular Matrices by reducing the Matrix into Normal Form. Requirements Basic knowledge of Matrices Description Linear Algebra, mathematical discipline that deals with vectors and matrices and, more generally, with vector spaces and linear transformations. In this 3hr 54 min Course ' Linear Algebra Part 4 Echelon Matrix and Normal Form of Matrix' is having very interesting contents based on Echelon Matrix, Row Column Operations on matrix, Rank of Matrix, Normal Form of Matrix, and Determining the Non singular Matrices.The listed Contents of the Course 'Echelon Matrix & Normal Form of Matrix'1) The introduction to the Echelon Matrix and its definition with examples.2) Finding the Basis and Dimension of subspaces.3) Finding basis and dimension of the sum of subspaces.4) Finding the basis and dimension of intersection of subspaces.5) Finding the basis and dimension of subspaces having vectors as matrices.6) Finding the basis and dimension of subspaces having vectors as real polynomials of degree less than equal to 3 including the zero polynomial.7) Finding the basis and dimension of subspaces, having vectors as xy-plane or x axis or respective other axis and planes.8) Finding the basis and dimension of subspaces, sum of subspaces, intersection of subspaces with determination of rank too.9) Equivalence of row column operations on matrices.10) Normal form of matrix introduction with examples11) Determining the rank of matrix by reducing the given matrix into its normal form.12)Determining the non singular matrices P and Q by reducing the given matrix into its normal form such that PAQ is in normal form where A is the given matrix.Including all Important Theorems and Proofs with Solved Examples and assignments plus Practice Questions. Overview Section 1: Echelon Matrix Lecture 1 Introduction to Echelon Matrix with Examples Lecture 2 Find the Basis & Dimension of Subspaces & Sum of Subspaces Lecture 3 Find the Basis & Dimension of Subspaces, Sum of Subspaces & Itheir Intersection Lecture 4 Find the Basis & Dimension of the subspaces for including vectors (a,0,b) Lecture 5 Find the Basis & Dimension of Subspaces for xz-plane. Lecture 6 Find the Basis & Dimension of xy-plane and y axis Lecture 7 Show that Sum of the Subspaces is R³ Section 2: Extension of Basis Lecture 8 Find the Basis & Dimension of Subspace and extend its Bssis Lecture 9 Extend the set { (1,1,1,1),(1,2,1,2) } to form Basis for R4 Lecture 10 Extend the set {(0,0,1,2,3),(0,0,-2,1,2)} to form Basis for R5 Lecture 11 Find the Dimension of Sum and Intersection of Subspaces for Real Polynomials Lecture 12 Find the Basis & Dimension of W = {f(x)/ f(1) = 0} and also extend its Basis Lecture 13 Find the Basis & Dimension of W = {f(x)/ f'(1) = 0} and also extend its Basis Lecture 14 Find the Basis & Dimension of Sum of Subspaces for previous content Polynomials Lecture 15 Find Basis & Dim of Intersection of Subspaces for previous content Polynomials Section 3: Basis and Dimension of Solution Space Lecture 16 Basis and Dimension of Solution Space of system of Linear Equations Lecture 0 Basis and Dimension of Solution Space of system of 3 Linear Equations Lecture 0 Basis & Dimension of W = {(x,y,z)/x-2y+3z = 0} and also extend its Basis. Lecture 0 Basis & Dimension of subspace having vectors (x,y,z,s) s.t. y = x-z, x = 2s Lecture 17 Basis & Dimension of Subspace W = {[x,y,z)/z = x+y, y = 2x} Lecture 18 Basis & dimension of Sum and Intersection of given Subspaces of R4 Lecture 19 Basis & dimension of Sum and Intersection of given Subspaces of R4 (Exercise 2) Lecture 20 Basis & dimension of Sum and Intersection of given Subspaces of R4 (Exercise 3) Lecture 21 Determine whether given polynomials are Linearly Independent or Dependent. Lecture 22 Determine whether given Matrices are Linearly Independent or Dependent. Section 4: Rank of a Matrix Lecture 23 Introduction to Rank of Matrix Lecture 24 Theorem 1 on Rank of Matrix Lecture 25 Theorem 2 on Rank of Matrix ( Equivalent Statements) Lecture 26 Show that row column operation is an Equivalence Relation Lecture 27 Important Results on rank of Matrix Section 5: Normal Form of Matrix Lecture 28 Introduction to Normal Form of Matrix_ Reduction to Normal Form of Matrix Lecture 29 Reduction to Normal Form of Matrix illustrating with an Example. Lecture 30 Reduce the given Matrix into its Normal Form and also Determine its Rank Lecture 31 Prove that Row Rank of A = Rank of A = Column Rank of A where A is given Matrix Lecture 32 Find the Rank of Matrix by reducing this matrix into its Normal Form Lecture 33 Find the Non Singular Matrices P & Q s.t. PAQ is in Normal Form Lecture 34 Practice Assignment to find the Non Singular Matrices Bsc. and Msc Maths students, for UGC NET EXAM Entrance Exam, for CSIR NET Exam, Engineering Higher Mathematics students, Post Graduate students Screenshot Homepage https://www.udemy.com/course/linear-algebra-part-4-echelon-matrix-normal-form-matrix/ Rapidgator https://rg.to/file/1519d34a764cfc4d302cb8b067f8779e/kojoq.Linear.Algebra.Part.4.Echelon.Matrix..Normal.Form.Matrix.part1.rar.html https://rg.to/file/4f41fc76ddbc39b61cc313e5e0cb2aa5/kojoq.Linear.Algebra.Part.4.Echelon.Matrix..Normal.Form.Matrix.part2.rar.html Fikper Free Download https://fikper.com/0ZO7M6LqsF/kojoq.Linear.Algebra.Part.4.Echelon.Matrix..Normal.Form.Matrix.part1.rar.html https://fikper.com/3MrG659vyd/kojoq.Linear.Algebra.Part.4.Echelon.Matrix..Normal.Form.Matrix.part2.rar.html No Password - Links are Interchangeable

Free Download MQL5 MACHINE LEARNING Linear Regression for Algo Trading Published 10/2024 Created by Latvian Trading Solutions MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 25 Lectures ( 3h 42m ) | Size: 2 GB A complete guide to developing linear regression based models for algorithmic trading in MQL5 What you'll learn: The concept of Linear Regression and its application in Algorithmic Trading How to Develop a Linear Regression model on a spread sheet How to code a Linear Regression model Indicator in MQL5 How to develop a Linear Regression Strategy and code an Expert advisor in MQL5 Requirements: Basics of MQL5 Description: Simple linear regression is a statistical method used to model the relationship between two variables: an independent variable (x) and a dependent variable (y). It assumes a linear relationship between the two variables and aims to find the best-fitting straight line that represents this relationship.The equation for a simple linear regression model is:y = ax + bWhere:y is the dependent variable (the variable we want to predict).x is the independent variable (the variable used to make predictions).a is the slope of the line, representing the rate of change of y with respect to x.b is the y-intercept, representing the value of y when x is zero.While simple linear regression is a statistical technique, it can also be considered as a machine learning algorithm. In machine learning, the goal is to build models that can learn from data and make predictions. Linear regression fits this framework because it learns the relationship between x and y from a given dataset and uses this learned relationship to make predictions for new data points. As neural networks learn the best non-linear relationships between data by finding the weights that best fit the data, linear regression aims to find the best values of a and b that best describe the linear relationship between variables.In this course, our aim is to build a linear regression model in mql5 that seeks to predict the closing prices of a currency pair given its specific bar index. We shall start by creating a linear regression model on a spread sheet to basically explain the calculations involved in creating a linear regression model. We shall then develop our linear regression model as an mql5 indicator by coding it using the mql5 programming language. After that, we shall develop our trading strategy as an mql5 expert advisor coded using the mql5 algorithmic trading language. We shall use the linear regression model we created as an indicator to analyze data and find patterns we can use to profit from the market. We shall base our trading logic on the fact that if price goes beyond one or two standard deviations from its predicted or expected price, it has to reverse and go back to its expected price. Hence our strategy will be a mean reversion type of strategy.For those that are still finding their way with MQL5, as long as you understand the basics of MQL5, this course is for you. We will patiently guide you through every step of the strategy development process and walk you through every line of code we shall craft. Hopefully, by the end of the course, you will have gained the necessary skills to code similar models and trading strategies and be able to appreciate how linear regression models can be an asset in developing your own trading ideas based on the ideas that shared in this course.So hit hard on that enroll button now and join me in this incredible journey of coding a linear regression model using the mql5 algorithmic trading language. Who this course is for: Anyone willing to learn about the applications of Linear Regression in Market analysis and timeseries forecasting Homepage https://www.udemy.com/course/mql5-machine-learning-linear-regression-for-algo-trading/ Rapidgator https://rg.to/file/630d36f1b4288747a471e52674d9d4dd/tckwc.MQL5.MACHINE.LEARNING.Linear.Regression.for.Algo.Trading.part1.rar.html https://rg.to/file/7645de1e68ac2dcf4f2b70fa72700e70/tckwc.MQL5.MACHINE.LEARNING.Linear.Regression.for.Algo.Trading.part2.rar.html https://rg.to/file/482c3aed89c0666e8b54135282d626d2/tckwc.MQL5.MACHINE.LEARNING.Linear.Regression.for.Algo.Trading.part3.rar.html Fikper Free Download https://fikper.com/1HmmIr9mbW/tckwc.MQL5.MACHINE.LEARNING.Linear.Regression.for.Algo.Trading.part1.rar https://fikper.com/R3AmHQhj0Z/tckwc.MQL5.MACHINE.LEARNING.Linear.Regression.for.Algo.Trading.part2.rar https://fikper.com/4wDuaEE6tI/tckwc.MQL5.MACHINE.LEARNING.Linear.Regression.for.Algo.Trading.part3.rar No Password - Links are Interchangeable

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Linear Programming Problem MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | Lec: 8 | 320 MB Genre: eLearning | Language: English Learn how to allocate resources at optimum using LPP Graphic and Simplex Methods Welcome to this course .Every organisation will have this objective. That is, Maximization of profit or Minimization of Cost. But this objective cannot be achieved that easily because there will be many constraints. Constraints may be in the form of Men, Material, Machine or any other resources. Organisation should keep this constraints in mind and make optimum allocation of its resources.This course will teach you, how to allocate resources optimally and achieve objective when you have various sets of constraints. (LPP) is a mathematical technique to identify the ways in which resources can be allocated given the constraints and achieve given objective. In LPP, there are broadly two methods by which we can identify optimum allocation of resources.This course will explain both the methods i.e., Graphical Method and Simplex Method using number of case studies. This course is structured only from Academic Point of View. Hence, it does not teach you about software or apps related to LPP.This course is useful only for students pursuing CA / CMA / CS / CAIIB / Accounts and Statistics related courses. This course is structured in self paced learning style. Take this course to have practical insight of LPP. Download link: http://rapidgator.net/file/1ed6e87b97580ec0e6362d6eebd705c3/2hh9d.Linear.Programming.Problem.rar.html]2hh9d.Linear.Programming.Problem.rar.html http://nitroflare.com/view/3F6566509C5F4DB/2hh9d.Linear.Programming.Problem.rar]2hh9d.Linear.Programming.Problem.rar http://uploaded.net/file/bp561dgf/2hh9d.Linear.Programming.Problem.rar]2hh9d.Linear.Programming.Problem.rar http://www.datafile.com/d/TWpBM05ESXhORGMF9/2hh9d.Linear.Programming.Problem.rar]2hh9d.Linear.Programming.Problem.rar https://www.bigfile.to/file/qGgX9dbW8h6J/2hh9d.Linear.Programming.Problem.rar]2hh9d.Linear.Programming.Problem.rar Links are Interchangeable - No Password - Single Extraction

Digital Tutors - Linear Workflow in After Effects With Evan James 47m 54s | Video: AVC (.mp4) 1280x720 15fps | Audio: AAC 48KHz 2ch | 1.54 GB Genre: eLearning | Language: English | Project files Included In this After Effects tutorial, we'll learn how to incorporate a linear workflow into our projects to get better results. We'll start off going over how light behaves linearly and how our vision system perceives light non-linearly. Then we'll learn what video gamma space is and why we use it to store standard digital images After that, we'll go over some of the problems that happen when you composite in video gamma space. We'll see all the advantages of 32-bit float using a Cineon file, learn more about the advantages of working in linear gamma instead of video gamma and then set up a project in linear color space to see what After Effects is doing behind the scenes. Finally, we'll put theory into practice as we composite a forest fire in linear color space and compare it to the same shot comped in video gamma. By the end of this After Effects training, you'll have a solid understanding of how to work in a linear color space and why a linear workflow can benefit your own projects. Download From NitroFlare http://www.nitroflare.com/view/7358C7DADFB87F3/LineWorkflowAfterEffects.part1.rar http://www.nitroflare.com/view/358DD31F25FA837/LineWorkflowAfterEffects.part2.rar http://www.nitroflare.com/view/E4216D37CE73064/LineWorkflowAfterEffects.part3.rar http://www.nitroflare.com/view/36CA9561932F152/LineWorkflowAfterEffects.part4.rar Download From Rapidgator http://rapidgator.net/file/b1345c9ab6f039e38e7d6e1a38abe8da/LineWorkflowAfterEffects.part1.rar.html http://rapidgator.net/file/f02965a2cd9ab5bc1db28e1eb50bfa80/LineWorkflowAfterEffects.part2.rar.html http://rapidgator.net/file/49c83dedbd8a8fedd17d2b80f23145b4/LineWorkflowAfterEffects.part3.rar.html http://rapidgator.net/file/b417439a6a6c4a4e3a421bb37fe78991/LineWorkflowAfterEffects.part4.rar.html

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Digital-Tutors - Linear Workflow Strategies in MARI With Eddie Russell 54m 49s | AVC 1280x720 15 fps | AAC 96 Kbps 48.0 KHz | 1.39GB Genre: eLearning | Project Files Included With the emergence of physically accurate shaders and lighting in the film and game industries, linear workflow has emerged as sort of a buzz word in the community. Typically, linear workflow impacts the rendering artist and beyond in the production pipeline but it will only benefit texture painters to use a linear workflow when painting their textures if they know the textures will be rendered using one. In this MARI tutorial, we won't be painting an asset step by step but rather exploring the tools for implementing a linear workflow in MARI. We'll start by learning how the sRGB and linear color spaces differ. From here we'll learn how to create projects in MARI for use with linear workflow. Next we'll learn about MARI's implementation of color management and then about some important considerations for painting textures using a linear workflow. Finally we'll wrap this course up by learning how to export 8 bit and 32 bit textures out of MARI. After finishing this MARI training, you should be ready to start implementing linear workflow in your own texturing projects. Download From Uploaded http://uploaded.net/file/z4wuhwt6/xidau123_LWorkStratMARI.part1.rar http://uploaded.net/file/37agfeb3/xidau123_LWorkStratMARI.part2.rar http://uploaded.net/file/527k6c3n/xidau123_LWorkStratMARI.part3.rar Download From NitroFlare http://www.nitroflare.com/view/17189227C8E5DD3/xidau123_LWorkStratMARI.part1.rar http://www.nitroflare.com/view/3F33076943E4147/xidau123_LWorkStratMARI.part2.rar http://www.nitroflare.com/view/08F8241464984D7/xidau123_LWorkStratMARI.part3.rar Download From Rapidgator http://rapidgator.net/file/a606c4315febe5ee16fa8caf3cb9a2eb/xidau123_LWorkStratMARI.part1.rar.html http://rapidgator.net/file/13a75f272bb991c24d8298cd4a1df66e/xidau123_LWorkStratMARI.part2.rar.html http://rapidgator.net/file/2c511cda6a20e710549cbc1c85d188f8/xidau123_LWorkStratMARI.part3.rar.html