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ARMA-3-SQF-Cheat-Sheet-Revision-3 98%

] ”%1 is first” any isEqualTo any A ≠ a isLocalized message-name array joinString separator loadFile file-name localize message-name string select [index, count] string select [index] index to string end string splitString delimiters str value toArray string toLower string toString array inverse of toArray toUpper string string + string string == string A = a abs number x atan2 y deg radians finite number number max number number min number number mod number rad degrees random maximum parseNumber string round, ceil, floor, acos, asin, atan, cos, exp, ln, log, pi, sin, sqrt, tan number Vectors Optional parts and optional command arguments are shown as above.

https://www.pdf-archive.com/2016/06/04/arma-3-sqf-cheat-sheet-revision-3/

04/06/2016 www.pdf-archive.com

SuppHelmholtzDecomposition 97%

A purely “transverse” vector field does not necessarily have all of its vectors perpendicular to some reference vector.

https://www.pdf-archive.com/2018/02/11/supphelmholtzdecomposition/

11/02/2018 www.pdf-archive.com

forms (1) 96%

They’re used to vectors having 3 components but how do you interpret an object that has 6, 9 or even hundreds of components.

https://www.pdf-archive.com/2015/04/18/forms-1/

18/04/2015 www.pdf-archive.com

KMeansRE 96%

For example, if we have two items belonging to the same cluster and each one having a certain vector of attributes I t , then the vector of attributes C , associated with the nearest mean for these two items, would consist of those values that have a closest distance to the values of attributes that are contained in both vectors for one item and another item respectively.

https://www.pdf-archive.com/2016/12/13/kmeansre/

13/12/2016 www.pdf-archive.com

suffices 96%

Suffix notation becomes especially important when one deals with tensors, which can be thought of as the generalisation of familiar objects scalars (0 dimension), vectors (1 dimension), matrices (2 dimensions) - to higher dimension.

https://www.pdf-archive.com/2014/05/06/suffices/

06/05/2014 www.pdf-archive.com

MatrixCalculus 96%

For all vectors a and b, (A ⊗ B)H = AH ⊗ B H aT ⊗ b = baT = b ⊗ aT 8.

https://www.pdf-archive.com/2013/07/23/matrixcalculus/

23/07/2013 www.pdf-archive.com

ResearchPaper 95%

We take feature vectors of tickets and pass them onto DNN to generate low dimensional feature vectors, which helps compute the similarity of an existing ticket with the new ticket.

https://www.pdf-archive.com/2017/10/11/researchpaper/

11/10/2017 www.pdf-archive.com

triangleineq 94%

Given two vectors a = (a1 , a2 , a3 ) and b = (b1 , b2 , b3 ), the dot product is defined as a · b = a1 b1 + a2 b2 + a3 b3 Note that for any particular vector a, we have a · a = a1 a1 + a2 a2 + a3 a3 = ||a||2 1 This document may be freely distributed, but not altered.

https://www.pdf-archive.com/2011/07/28/triangleineq/

28/07/2011 www.pdf-archive.com

thing 93%

In the vector space FV having standard basis vectors i indexed by the vertices V in V , represent the element e = {v, v 0 } in E by the vector v − v0 .

https://www.pdf-archive.com/2016/06/27/thing/

27/06/2016 www.pdf-archive.com

Overview of Mathematics 92%

Add new class (vectors), define vector sum &

https://www.pdf-archive.com/2016/01/07/overview-of-mathematics/

07/01/2016 www.pdf-archive.com

Observer dependent entanglement 90%

Vectors lying within the light cone at each point are called time-like.

https://www.pdf-archive.com/2016/12/20/observer-dependent-entanglement/

20/12/2016 www.pdf-archive.com

Lesson 10-6 Surface Integrals 90%

A surface, S, is orientable if a unit normal vector Nˆ can be defined at every non-boundary point of S in such a way that the normal vectors vary continuously over the surface.

https://www.pdf-archive.com/2017/05/16/lesson-10-6-surface-integrals/

16/05/2017 www.pdf-archive.com

Maths 1A - Chapter wise important Questions 90%

1B CHAPTER WISE WEIGHTAGE MATHS - 1A S.NO NAME OF THE CHAPTER LAQ(7M) SAQ(4M) VSAQ(2M) TOTAL 2 11M 1 FUNCTIONS 1 2 MATHEMATICAL INDUCTION 1 3 ADDITION OF VECTORS 4 MULTIPLICATION OF VECTORS 5 TRIGONOMETRY UPTO TRASFORMATIONS 6 TRIGONOMETRIC EQUATIONS 1 4M 7 INVERSE TRIGONOMETRIC FUNCTIONS 1 4M 8 HYPERBOLIC FUNCTIONS 9 PROPERTIES OF TRIANGLES 1 1 10 MATRICES 2 1 2 22M 7 7 10 97M SAQ(4M) VSAQ(2M) 7M 1 2 8M 1 1 1 13M 1 1 2 15M 1 TOTAL 2M 11M MATHS - 1B S.NO NAME OF THE CHAPTER LAQ(7M) TOTAL 1 LOCUS 1 4M 2 CHANGE OF AXES 1 4M 3 STRAIGHT LINES 1 4 PAIR OF STRAIGHT LINES 2 5 3D-GEOMETRY 6 D.C’s &

https://www.pdf-archive.com/2017/10/15/maths-1a-chapter-wise-important-questions/

15/10/2017 www.pdf-archive.com

L7+QM+Measurements+and+Constants+of+Motion 89%

Cn = un ψ As you already know what the definition of an inner product between vectors is we now define the inner product between functions.

https://www.pdf-archive.com/2016/02/22/l7-qm-measurements-and-constants-of-motion/

22/02/2016 www.pdf-archive.com

Rnotes AFP 89%

1.4 Working with vectors .

https://www.pdf-archive.com/2017/05/18/rnotes-afp/

18/05/2017 www.pdf-archive.com

CategoryTheory 89%

Specifically the vectors in F (X) are formal k-linear combinations x∈X cx x where each cx is an element of k and for only finitely many x is cx 6= 0.

https://www.pdf-archive.com/2016/12/17/categorytheory/

17/12/2016 www.pdf-archive.com

Applied Statistics - Dehar Hamdaoui Lecocq Sitbon 89%

C) Regularization and Gradient method Regularization consists in adding an extra term to the error function in order to penalize complex ⃗⃗ vectors.

https://www.pdf-archive.com/2014/05/08/applied-statistics-dehar-hamdaoui-lecocq-sitbon/

08/05/2014 www.pdf-archive.com

week4 87%

In the second case we have xi · xj = 0, since different basis vectors 1 are orthogonal, as well as e ∈ E \ ∪E(S) and the edge e contributes we− to the second term of both objective (1) and objective (5).

https://www.pdf-archive.com/2016/02/20/week4/

20/02/2016 www.pdf-archive.com

Tag-Cloud-Refactoring 87%

Let S be the set of all the matching algorithms, let A be the subset of S, thus, the set of matching algorithms that we want to use, let g be the granularity, let Q the set of positive Rational Numbers, let i, j, k, ..., t be indexes belonging to the set of multiples for the granularity ˙ then, a set of rational vectors r exists where each element ri is re(denoted {g}) sult of the scalar product between A and the index pattern (i, j − i, k − j, ..., 1 − t).

https://www.pdf-archive.com/2018/05/28/tag-cloud-refactoring/

28/05/2018 www.pdf-archive.com

craven1969 86%

Basis vectors for the direct and reciprocal lattices along with the atom sites in the primitive cell are given in Table I.

https://www.pdf-archive.com/2017/12/12/craven1969/

12/12/2017 www.pdf-archive.com

conditioning-backward-error-2 86%

If x and y are nonzero vectors such that they are a solution to the polynomial eigenvalue problem (PEP), P (λ)x = 0 and y ∗ P (λ) = 0, then we will say that x and y are a right and left eigenvector, respectively.

https://www.pdf-archive.com/2015/11/18/conditioning-backward-error-2/

18/11/2015 www.pdf-archive.com

Pine Wood Nematode 85%

The efficacy of both species as vectors of PWN under Norwegian conditions remains an important question to be addressed by future research.

https://www.pdf-archive.com/2017/04/05/pine-wood-nematode/

05/04/2017 www.pdf-archive.com