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Ishu
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HI, I am taking linear algebra this semester, So i wanted to know..what does linear algebra deals with? Is it really hard? Can sonme one shed some light?
Hello,Ishu said:HI, I am taking linear algebra this semester, So i wanted to know..what does linear algebra deals with? Is it really hard? Can sonme one shed some light?
mathwonk said:linear algebra is like oatmeal, not much to it, but it will never let you down, and is frequently useful.
actually there is no such thing as linear algebra but there is such a thing as a linear differential operator. i.e. learn about linear differential equations and you will understand linear algebra.:tongue:
i.e. if sin(x) and cos(x) are both solutions of y'' + y = 0, why is 2sin(x) + 7cos(x) also a solution? that is linear algebra.:!)
dy/dx said:In english that would mean
y=x+c
or
y=ax^2+bx+c
...kind of equations... So don't be discouraged by the words used in the various definitions given.
Kouros Khamoushi said:Can someone define what is Moduli of elasticity ?
Linear algebra is a branch of mathematics that deals with systems of linear equations and their representations in vector spaces. It is used to study and analyze linear transformations and their properties. It has applications in a wide range of fields including physics, engineering, computer science, and economics.
Linear algebra can be challenging for some, but with proper instruction and practice, it can be easily understood. It requires a good understanding of basic mathematical concepts such as algebra, geometry, and trigonometry. With patience and persistence, anyone can learn linear algebra.
Linear algebra has numerous real-world applications, including data analysis, image and signal processing, computer graphics, and machine learning. It also has applications in solving optimization problems, modeling physical systems, and analyzing financial data.
Some of the main concepts in linear algebra include vector spaces, linear transformations, matrices, determinants, and eigenvalues and eigenvectors. These concepts are used to represent and solve systems of linear equations, perform geometric transformations, and analyze data.
Yes, linear algebra is a fundamental tool in many areas of science, including physics, engineering, and computer science. It can be used to solve problems in mechanics, electromagnetism, and quantum mechanics. It is also essential in designing algorithms for data analysis and machine learning.