Linear Algebra for College Exams بالعربي
Linear Algebra,Linear Algebra بالعربي, Linear Algebra حل مسائل, Linear Algebra اسئلة امتحانات الجامعة,الجبر الخطي
Ratings 3.81 / 5.00
What You Will Learn!
- Linear Algebra وبأمثلة بالعربي
- موقع بيحل اي Matrix
- Echelon,reduced Echelon, leading terms شرح
- Vector space or not شرح
- Vector space امثلة اكثر
- Vector space Vs Subspace شرح الفرق
- Solve the system using Row Operation شرح
- Solve The system using Gauss Jordan شرح
- Solve the homogeneous system for different values of K شرح
- Is W a linear combination of u,v شرح
- Is W not a linear combination of u,v ِشرح
- Is v in span {u1,u2,u3,..}? شرح
- Vectors are linearly independent ِشرح
- Vectors are linearly dependent شرح
- Do v1,v2,v3 form a basis for R^3 ?شرح
- Column space, Row space, Solution space (null space) شرح
- حل المعادلات بسهولة
- حل الماتركس بسهولة
- Free variable شرح
- Vector Space شرح
- شروط تحقق Vector Space
- Subspace
- شروط تحقق Subspace
- Homogeneous system for different values of K
- The system has unique solution,more than one solution (infinite), or no solution حل امثلة
- What is basis?
- Show that these vectors form a basis for R^3
- Rank and Nullity of a Matrix
- Inner product spaces
- The norm of a vector
- Orthogonal vectors proof
- Inner product rules
- distance between two vectors
- discuss the originality of two vectors u,v
- Inner product integral
Description
Linear Algebra for College Exams بالعربي
أهلا ومرحباَ بكم اعزائي الطلاب، معكم بشمهندس زكي من جامعة العاشر من رمضان ، وإن شاء الله في كورس الجبر الخطي هتتعلموا ازاي تحلوا مسائل الامتحانات بسهولة ومن غير تعقيد، حل المسائل كلها بالخطوات ، والشرح على الصبورة ، المنهج انجليزي و الشرح عربي
إن شاء الله في الكورس ده هنتكلم ونحل مسائل عن المواضيع الاتية:
حل المعادلات بسهولة
حل الماتركس بسهولة
Solve the system using Gauss-Jordan Elimination
Solve the system using the Row operation
Free variable
Leading term
Echelon Form
Reduced Echelon Form
Vector Space
شروط تحقق Vector Space
Subspace
شروط تحقق Subspace
Homogeneous system for different values of K
The system has unique solution,more than one solution (infinite), or no solution
Linear Combination
Spans
Linear independence (Linearly independent)
Linear dependence (Linearly dependent)
What is the basis?
Show that these vectors form a basis for R^3
Row space, column space, null space (solution space)
Rank and Nullity of a Matrix
The dimension of row space, column space, null space, or any matrix
Inner product spaces
The norm of a vector
Orthogonal vectors proof
Inner product rules
distance between two vectors
discuss the originality of two vectors u,v
Inner product integral
تعلم اليوم وانجح في الإمتحان
Who Should Attend!
- University students
- Engineers
- طلاب الجامعة
- المهندسون
