1 15.053 February 7, 2002 A brief review of Linear Algebra Linear Programming Models Handouts: Lecture Notes.
Splash Screen. Chapter Menu Lesson 4-1Lesson 4-1Introduction to Matrices Lesson 4-2Lesson 4-2Operations with Matrices Lesson 4-3Lesson 4-3Multiplying.
Holt McDougal Algebra 2 4-2 Multiplying Matrices 4-2 Multiplying Matrices Holt Algebra 2 Warm Up Warm Up Lesson Presentation Lesson Presentation Lesson.
1 Multiplying Matrices Two matrices, A with (p x q) matrix and B with (q x r) matrix, can be multiplied to get C with dimensions p x r, using scalar multiplications.
CISE301_Topic3KFUPM1 SE301: Numerical Methods Topic 3: Solution of Systems of Linear Equations Lectures 12-17: KFUPM Read Chapter 9 of the textbook.
SOLVING SYSTEMS OF LINEAR EQUATIONS. Overview A matrix consists of a rectangular array of elements represented by a single symbol (example: [A]). An individual.
PHYS 30101 Quantum Mechanics PHYS 30101 Quantum Mechanics Dr Gavin Smith Nuclear Physics Group These slides at: jb/phys30101.
PHYS 30101 Quantum Mechanics PHYS 30101 Quantum Mechanics Dr Sean Freeman Nuclear Physics Group These slides at: jb/phys30101.
Portfolio Models MGT 4850 Spring 2007 University of Lethbridge.
Chapter 8 Objectives Understanding matrix notation. Being able to identify the following types of matrices: identify, diagonal, symmetric, triangular,
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Chapter 3: Linear Algebra I. Solving sets of linear equations ex: solve for x, y, z. 3x + 5y + 2z = -4 2x + 9z = 12 4y + 2z = 3 (can solve longhand) (can.