MATH 2104Tüm SınavlarLinear Algebra

Atılım biz geldik! Math 275 dersi düşündüğün kadar zor değil; Dersimizdeki özet konu anlatımları ve kitabınızdaki bölüm sonu soru çözümleriyle konuyu öğrenecek, sonrasında son yılların çıkmış sınav sorularıyla antreman yapacaksın.

Tamamen senin okuluna özel hazırlanmış bu içerik akışıyla Lineer Cebir dersinden istediğin notu alacaksın. Bu dersimizde sunduğumuz içerikler sırasıyla: 1) Systems of Linear Equations 2) Row Reduction- Gaussian Elimination 3) Matrix Operations 4) Inverse of a Matrix 5) Solving systems with Inverse 6) Determinants 7) Properties of Determinants 8) Adjoint of a Matrix 9) Cramer's Rule 10) Vector Spaces and Subspaces

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130 soru çözümü
65 konu anlatımı · 15 sa 1 dk

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Eğitmen

Dorukhan Özcan

Dorukhan Özcan

Co-Founder & CEO

Unicourse şirketinin kurucu ortağıyım. 2016 senesinde Galatasaray Lisesinden mezun oldum. Geçtiğimiz dört sene içerisinde 2000 saatten fazla ders anlattım. Anlattığım dersler sırasıyla; Calculus, Çok değişkenli Calculus, Lineer Cebir, Differansiyel Denklemler, Uygulamalı İstatistik ve Stokastik Modelleme dersleridir. Doping Hafıza şirketinde 2017 - 2022 seneleri arasında CEO danışmanlığı yaptım. Koç Üniversitesi Endüstri Mühendisliği ve Ekonomi çift anadal programını tam burslu olarak, 3.96/4.00 not ortalamasıyla bitirdim. Kadıköy Modalıyım.

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Derslerimize güveniyoruz. Olur da sınavlarına bizimle hazırlandığın halde dersten kalırsan, iade alabilirsin. Koşullar

Konular

Ders Tanıtımı

Complex Numbers - 1

Complex Numbers - 2

Complex Numbers - 3

Polar Representation - 1

Polar Representation - 2

Polar Representation - 3

De Moivre's Theorem - 1

De Moivre's Theorem - 2

Fundamental Matrix Operations

Practice Problem 1

Practice Problem 2

Practice Problem 3

Practice Problem 4

Practice Problem 5

Practice Problem 6

Practice Problem 7

Ücretsiz

Practice Problem 8

Practice Problem 9

Ücretsiz

Augmented Matrix - Row Reduction 1

Ücretsiz

Augmented Matrix - Row Reduction 2

Ücretsiz

Existence and Uniqueness of Solution

Ücretsiz

Free Variables (Free Parameter)

Practice Problem 1

Practice Problem 2

Practice Problem 3

Practice Problem 4

Practice Problem 5

Exam like Question 1

Ücretsiz

Exam like Question 2

Ücretsiz

Exam like Question 3

Exam like Question 4

Ücretsiz

Inverse of a Matrix 1

Inverse of a Matrix 2

Practice Problem 1

Practice Problem 2

Practice Problem 3

Practice Problem 4

Elementary Matrix

Önemli

Inverse of Elementary Matrix

Exam-like Question 1

Exam-like Question 2

Exam-like Question 3

Product of a Matrix and a Vector

Matrix Equation

Solving AX = B with Inverse

Exam like Question 1

Ücretsiz

Exam like Question 2

Exam like Question 3

Exam like Question 4

Exam like Question 5

Gaussian Elimination Method

Existence and Uniqueness 1

Ücretsiz

Existence and Uniqueness 2

Matrix Operations

Inverse of a Matrix 1

Inverse of a Matrix 2

Solving systems with Inverse 1

Solving Systems with Inverse 2

Solving systems with Inverse 3

Ücretsiz

Vector Properties

Linear Combination 1

Ücretsiz

Linear Combination 2

Ücretsiz

Formal Definition of Linear Combination

Ücretsiz

Span of Vectors 1

Ücretsiz

Span of Vectors 2

Solutions of Homogeneous Linear Systems

Exam-like Question 1

Exam-like Question 2

Exam-like Question 3

Linear Independent Sets

Linear Independence of Matrices

Special Theorem for Matrix Equation

Exam-like Questions 1

Exam-like Questions 2

Exam-like Question 3

Exam-like Question 4

Vector Spaces and Subspaces

Polynomial Subspaces

Matrix Spaces & Matrix Subspaces

Exam-like Question 1

Exam-like Question 2

Exam-like Question 3

Exam-like Question 4

Exam-like Question 5

Exam-like Question 6

Basis for Vector Subspaces

Basis for Matrix Subspaces

Basis for Polynomial Subspaces

Basis for Polynomial Subspaces 2

Null Space & Column Space & Row Space

Bases for Col A & Row A & Null A

Exam like Question

Coordinate Systems: Introduction

Coordinate Systems: Polynomials

Exam-like Question 1

Exam-like Question 2

Exam-like Question 3

Exam like Question 4

Exam like Question 5

Coordinate Systems: Matrices 1

Coordinate Systems: Matrices 2

Coordinate Systems: Matrices 3

Coordinate Systems: Matrices 4

Subspace or Not 1

Subspace or Not 2

Subspace or Not 3

Subspace or Not 4

Subspace or Not 5

Polynomial Subspace or Not 1

Polynomial Subspace or Not 2

Ücretsiz

Polynomial Subspace or Not 3

Span of Vectors

Span of Vectors

Span of Vectors

Span of Vectors

Span of Vectors

Linear Independence

Linear Independence

Linear Independence

Linear Independence

Rank and Nullity - Theoretical

Null & Column & Row Spaces 1

Null & Column & Row Spaces 2

Ücretsiz

Null & Column & Row Spaces 3

Null & Column & Row Spaces 4

Null & Column & Row Spaces 5

Ücretsiz

Column, Null and Row Spaces 1

Column, Null and Row Spaces 2

Column, Null and Row Spaces 3

Basis for Subspaces (Vectors)

Basis for Subspaces (Vectors)

Basis for Subspaces (Vectors)

Basis for Subspaces (Vectors)

Basis for Subspaces (Matrices)

Basis for Subspaces (Matrices)

Basis for Subspaces (Matrices)

Basis for Subspaces (Matrices)

Basis for Subspaces (Matrices)

Basis for Subspaces (Matrices)

Basis for Subspaces (Matrices)

Basis for Subspaces (Matrices)

Basis for Subspaces (Polynomials)

Basis for Subspaces (Polynomials)

Basis for Subspaces (Polynomials)

Basis for Subspaces (Polynomials)

Spanning Sets (Vectors)

Spanning Sets (Vectors)

Spanning Sets (Vectors)

Spanning Sets (Vectors)

Spanning Sets (Polynomials)

Spanning Sets (Polynomials)

Spanning Sets (Matrices)

Inner Product Space

Ücretsiz

Exam like Question 1

Ücretsiz

Exam like Question 2

Exam like Question 3

Key concepts for orthogonality

Orthogonal Complement

Orthagonal Complement 2

Exam-like Question 1

Exam-like Question 2

Exam-like Question 3

Exam like Question 4

Orthogonal Sets and Basis

Advantage of an Orthogonal Basis

Orthonormal Sets and Basis

Orthogonal Matrix

Basis for Orthogonal Complement

Orthogonal Projection 1

Orthogonal Projection 2

Exam-like Question 1

Exam-like Question 2

Ücretsiz

Exam-like Question 3

The Gram-Schmidt Process 1

The Gram-Schmidt Process 2

Exam like Question 1

Exam like Question 2

Angle Between Vectors for a Given Inner Product

Eigenvalues & Eigenvectors: 3 Vital Steps

Ücretsiz

Eigenvalues & Eigenvectors: A Special Tip

A Matrix with Irrational Eigenvalues

Algebraic and Geometric Multiplicities 1

Algebraic and Geometric Multiplicities 2

Eigenspace of Matrices

Diagonalization 1

Diagonalization 2

Exam like Question 1

Exam like Question 2

Eigenvalues

Eigenvalue Eigenvector Diagonalizable

Diagonalization 1

Diagonalization 2

Diagonalization 3

Diagonalization 4

Diagonalization 5

MATH 2104 Tüm Sınavlar Hakkında Sıkça Sorulan Sorular

Sıkça Sorulan Sorular

3897 TL