The positional modeling of the 2T6R robot mechanism is done for inverse kinematics, i.e. when imposed positions end effector T, imposed, belonging to final element 3, are known and necessary speeds two input motors, leading elements, determined, 1 6. It proposed solve a simple algorithm in program MathCad 2000, which uses initiation logical function If Log. kinematic output parameters, paramete...

We develop nearly-linear time algorithms for approximately solving sparse symmetric diagonally-dominant linear systems. In particular, for every β > 0 we present a linearsystem solver that, given an n-by-n symmetric diagonally-dominant matrix A with m nonzero entries and an n-vector b, produces a vector x̃ within relative distance ǫ of the solution to Ax = b in time O(m log(1/ǫ) log(nκf (A)) ), ...

A curious property of randomized log-space search algorithms is that their outputs are often longer than their workspace. This leads to the question: how can we reproduce the results of a randomized log space computation without storing the output or randomness verbatim? Running the algorithm again with new random bits may result in a new (and potentially different) output. We show that every p...

We develop nearly-linear time algorithms for approximately solving sparse symmetric diagonally-dominant linear systems. In particular, for every β > 0 we present a linearsystem solver that, given an n-by-n symmetric diagonally-dominant matrix A with m nonzero entries and an n-vector b, produces a vector x̃ within relative distance ǫ of the solution to Ax = b in time O(m log(1/ǫ) log(nκf (A)) ), ...

Let and be a partition of f1; : : : ; ng into two blocks. A merging network is a network of comparators which allows as input arbitrary real numbers and has the property that, whenever the input sequence x 1 ; x 2 ; : : : ; x n is such that the subse-quence in the positions and the subsequence in the positions are each sorted, the output sequence will be sorted. We study the class of \recursive...

We develop nearly-linear time algorithms for approximately solving sparse symmetric diagonally-dominant linear systems. In particular, we present a linear-system solver that, given an n-by-n symmetric diagonally-dominant matrix A with m non-zero entries and an n-vector b, produces a vector x̃ satisfying ‖x̃ − x‖A ≤ ǫ, where x is the solution to Ax = b, in time m log m+O (m log(1/ǫ)) + n2 √ log n ...

Logs contain valuable information about the runtime behaviors of software systems. Thus, practitioners rely on logs for various tasks such as debugging, system comprehension, and anomaly detection. However, are difficult to analyze due their unstructured nature large size. In this paper, we propose a novel approach called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http:...