the basic difference between them is that in greedy algorithm only one decision sequence is ever generated.
where as in dynamic programming many decision sequences are generated.
greedy method does not give best solution always.but divide and conquer gives the best optimal solution only(for example:quick sort is the best sort).greedy method gives feasible solutions,they need not be optimal at all.divide and conquer and dynamic programming are techniques.
Tows matrix dynamic and Swot matrix static.
JQuery is a Javascript code library that helps you do dynamic changes to your website. Ajax has the same idea, but more used to make dynamic changes to your website to and from a database. They really go hand and hand.
HQL is to perform both select and non-select operations on data, but Criteria is only for selecting data, we can't perform non-select operations using criteria.HQL is suitable for executing static queries, where as Criteria is suitable for dynamic queries.HQL doesn't support pagination concept, but we can achieve pagination with Criteria.Criteria used to take more time to execute than HQL.With Criteria we are safe with SQL injection, because of its dynamic query operation, but in HQL as your queries are either fixed or parametrized , there is no safe for SQL injection.
A static load is time independent. A dynamic load is time dependent and for which inertial effects cannot be ignored. A quasi-static load is time dependent but is "slow" enough such that inertial effects can be ignored. So, when you ignore it? Let's not beat around the bushes and find a testing STANDARD for example ISO 527-1:2012, Chpt. 3.9 where 1mm/min traction testing speed is considered STATIC. Any other values?
A greedy algorithm is similar to a dynamic programming algorithm, but the difference is that solutions to the subproblems do not have to be known at each stage; instead a "greedy" choice can be made of what looks best for the moment.
quick sort is a divide and conquer method , it is not dynamic programming
in static programming properties, methods and object have to be declared first, while in dynamic programming they can be created at runtime. This is usually due to the fact that the dynamic programming language is an interpreted language.
The only difference between dynamic programming and back tracking is DP allows overlapping of sub problems. (fib(n) = fib(n-1)+ fib (n-2)).
Dynamic programming (DP) has been used to solve a wide range of optimizationproblemsWhen solving a problem using linear programming, specific inequalities involving the inputs are found and then an attempt is made to maximize (or minimize) some linear function of the inputs.
what is difference between dynamic and volumatic compressor
Version: static reference to a specific entity of a specific instance. Function: dynamic reference to existing algorithm to perform or execute.
In dynamic programming, envelope condition can be effectively utilized by ensuring that the optimal solution to a subproblem is contained within the optimal solutions of larger subproblems. This helps in reducing the number of redundant calculations and improving the efficiency of the algorithm.
The minimum coin change problem is a mathematical problem where the goal is to find the fewest number of coins needed to make a certain amount of change. In computer science, this problem is typically approached using dynamic programming algorithms, such as the greedy algorithm or the dynamic programming algorithm, to efficiently find the optimal solution.
greedy method does not give best solution always.but divide and conquer gives the best optimal solution only(for example:quick sort is the best sort).greedy method gives feasible solutions,they need not be optimal at all.divide and conquer and dynamic programming are techniques.
The most efficient dynamic programming solution for breaking a string into smaller substrings is the "memoization" technique. This involves storing the results of subproblems in a table to avoid redundant calculations, which can significantly improve the efficiency of the algorithm.
Static stays the same and dynamic is always different.