There are several applications of differential equations...
To begin with, there is the typical distance with respect to time (e.g. finding the rate of change between two cars after four hours if they start at a point and move in a 90 degree angle from each other). The differential equation is also used in physics with Newton's Second Law of Motion and the Law of Cooling. It can also be used in Hooke's Law for modeling the motion of a spring or in representing models for population growth and money flow/circulation. There are many other applications and there are many equations out there that can be used to set up and solve day-to-day problems.
Experience: Calculus 2 student
There is no application of differential equation in computer science
I have only fooled around with a couple of animation software applications but they have not required me to know programming.
In a computer there are many A/D converters that put analog into digital. This signal is what is usually then led into an op amp which in the right configuration can be designed into an integrator or differentiator which is then used to solve differential equations.
The document Getelementbyid is used for Java programming. Java programming is a computer language that allows people to build applications for creative uses everyday.
There are different programming languages and platforms used to create computer applications. Some of it will depend on the operating system platform. Perl and Python are used a lot in Linux applications.
There is no application of differential equation in computer science
J. L Blue has written: 'B2DE' -- subject(s): Computer software, Differential equations, Elliptic, Differential equations, Nonlinear, Differential equations, Partial, Elliptic Differential equations, Nonlinear Differential equations, Partial Differential equations
C. William Gear has written: 'Introduction to computers, structured programming, and applications' 'Runge-Kutta starters for multistep methods' -- subject(s): Differential equations, Numerical solutions, Runga-Kutta formulas 'BASIC language manual' -- subject(s): BASIC (Computer program language) 'Applications and algorithms in science and engineering' -- subject(s): Data processing, Science, Engineering, Algorithms 'Future developments in stiff integration techniques' -- subject(s): Data processing, Differential equations, Nonlinear, Jacobians, Nonlinear Differential equations, Numerical integration, Numerical solutions 'ODEs, is there anything left to do?' -- subject(s): Differential equations, Numerical solutions, Data processing 'Computer applications and algorithms' -- subject(s): Computer algorithms, Computer programming, FORTRAN (Computer program language), Pascal (Computer program language), Algorithmes, PASCAL (Langage de programmation), Programmation (Informatique), Fortran (Langage de programmation) 'Method and initial stepsize selection in multistep ODE solvers' -- subject(s): Differential equations, Numerical solutions, Data processing 'Stability of variable-step methods for ordinary differential equations' -- subject(s): Differential equations, Numerical solutions, Convergence 'What do we need in programming languages for mathematical software?' -- subject(s): Programming languages (Electronic computers) 'Introduction to computer science' -- subject(s): Electronic digital computers, Electronic data processing 'PL/I and PL/C language manual' -- subject(s): PL/I (Computer program language), PL/C (Computer program language) 'Stability and convergence of variable order multistep methods' -- subject(s): Differential equations, Numerical solutions, Numerical analysis 'Unified modified divided difference implementation of Adams and BDF formulas' -- subject(s): Differential equations, Numerical solutions, Data processing 'Asymptotic estimation of errors and derivatives for the numerical solution of ordinary differential equations' -- subject(s): Differential equations, Numerical solutions, Error analysis (Mathematics), Estimation theory, Asymptotic expansions 'FORTRAN and WATFIV language manual' -- subject(s): FORTRAN IV (Computer program language) 'Computation and Cognition' 'Numerical integration of stiff ordinary differential equations' -- subject(s): Differential equations, Numerical solutions
how much money does an computer programming and applications specialist make?
All the optimization problems in Computer Science have a predecessor analogue in continuous domain and they are generally expressed in the form of either functional differential equation or partial differential equation. A classic example is the Hamiltonian Jacobi Bellman equation which is the precursor of Bellman Ford algorithm in CS.
Dennis G. Zill is known for his work in mathematics, particularly in the field of differential equations. He has authored several textbooks on differential equations and calculus that are widely used in university courses.
All the optimization problems in Computer Science have a predecessor analogue in continuous domain and they are generally expressed in the form of either functional differential equation or partial differential equation. A classic example is the Hamiltonian Jacobi Bellman equation which is the precursor of Bellman Ford algorithm in CS.
Carl Dill has written: 'A computer graphic technique for finding numerical methods for ordinary differential equations' -- subject(s): Computer graphics, Differential equations.., Numerical calculations
The computer solves a very large system of partial differential equations.
I have only fooled around with a couple of animation software applications but they have not required me to know programming.
We create applications and software's to make life easy.
Programming software is not always the same as protecting the computer from crashing. Programming software is used to create or keep up other programs and applications.