ProcessResponse takes a response from every other peer. If the response designates the deal of another participant than this dkg, this dkg stores it

ProcessResponse takes a response from every other peer. If the response designates the deal of another participants than this dkg, this dkg stores it

ProcessResponse analyzes the given Response. If it's a valid complaint, then it returns a Justification. This Justification must be broadcasted to eve

ProofToHash verifies the NP-proof supplied by Proof and outputs Index.

Scale multiplies the elements of a by f, placing the result in the receiver. See the Scaler interface for more information.

Sign creates an optionally anonymous, optionally linkable signature on a given message. The caller supplies one or more public keys representing an a

SubsetSym extracts a subset of the rows and columns of the matrix a and stores the result in-place into the receiver. The resulting matrix size is len

completedGroupElement methods

Create a Verifier for the statement this Predicate represents.

allNaN returns true if x contains only NaN values, and false otherwise.

asTriDense returns a TriDense with the given size and side. The backing data of the TriDense is the same as the receiver.

* ------------------ */

* ------------------ */

* ------------------ */

* ------------------ */

* ------------------ */

* ------------------ */

* ------------------ */

* ------------------ */

bits returns the ceiling of base 2 log of v. Approach based on http://stackoverflow.com/a/11398748.

equal returns true if the matrices have equal entries.

feNeg sets h = -f Preconditions: |f| bounded by 1.1*2^25,1.1*2^24,1.1*2^25,1.1*2^24,etc. Postconditions: |h| bounded by 1.1*2^25,1.1*2^24,1.1*2^25,1

flattenBanded turns a dense banded slice of slice into the compact banded matrix format

flattenTriangular turns the upper or lower triangle of a dense slice of slice into a single slice with packed storage. a must be a square matrix.

isAllNaN returns whether x contains only NaN values.

returns true if the function panics

register is called by suites to make themselves known to Kyber.

underlyingData extracts the underlying data of the matrix a.

Correlation returns the weighted correlation between the samples of x and y with the given means. sum_i {w_i (x_i - meanX) * (y_i - meanY)} / (stdX *

Dlange computes the matrix norm of the general m×n matrix a. The input norm specifies the norm computed. lapack.MaxAbs: the maximum absolute value of

Dormqr multiplies an m×n matrix C by an orthogonal matrix Q as C = Q * C, if side == blas.Left and trans == blas.NoTrans, C = Q^T * C, if side ==

MulVec computes a * b. The result is stored into the receiver. MulVec panics if the number of columns in a does not equal the number of rows in b.

NewDirichlet creates a new dirichlet distribution with the given parameters alpha. NewDirichlet will panic if len(alpha) == 0, or if any alpha is <= 0

Parameters for the E-521 curve specified in: Aranha et al, "A note on high-security general-purpose elliptic curves", http://eprint.iacr.org/2013/647.

ProcessPartialSig takes a PartialSig from another participant and stores it for generating the distributed signature. It returns an error if the index

ProcessReconstructCommits takes a ReconstructCommits message and stores it along any others. If there are enough messages to recover the coefficients

ProcessResponse analyzes the given Response. If it's a valid complaint, then it returns a Justification. This Justification must be broadcasted to eve

Create a Prover proving the statement this Predicate represents.

SecretCommits returns the commitments of the coefficients of the secret polynomials. This secret commits must be broadcasted to every other participan

Set alters the matrix element at row i, column j to v. It will panic if i or j are out of bounds for the matrix.

SolveQR finds a minimum-norm solution to a system of linear equations defined by the matrices A and b, where A is an m×n matrix represented in its QR

Threshold returns the secret sharing threshold.

VFromSVD extracts the matrix V from the singular value decomposition, storing the result in-place into the receiver. V is size n×n if svd.Kind() == SV

Values returns the singular values of the factorized matrix in decreasing order. If the input slice is non-nil, the values will be stored in-place int

Variance computes the weighted sample variance: \sum_i w_i (x_i - mean)^2 / (sum_i w_i - 1) If weights is nil then all of the weights are 1. If weight

Verify checks a signature generated by Sign. The caller provides the message, anonymity set, and linkage scope with which the signature was purported

extract2x2Block returns the elements of T at [0,0], [0,1], [1,0], and [1,1].

AddScaledTo performs dst = y + alpha * s, where alpha is a scalar, and dst, y and s are all slices. It panics if the lengths of dst, y, and s are not

And predicate states that all of the constituent sub-predicates are true. And predicates may contain Rep predicates and/or other And predicates.

ColView returns a Vector reflecting the column j, backed by the matrix data. See ColViewer for more information.

CopyVec makes a copy of elements of a into the receiver. It is similar to the built-in copy; it copies as much as the overlap between the two vectors

CorrelationMatrix returns the correlation matrix calculated from a matrix of data, x, using a two-pass algorithm. If weights is not nil the weighted

CumProd finds the cumulative product of the first i elements in s and puts them in place into the ith element of the destination dst. A panic will occ