(2010). Matching functions and graphs at multiple levels of Bloom's revised taxonomy. Primus, 20, 204-216. http://dx.doi.org/10.1080%2F10511970802207212 Gronlund, N. E. (1995). How to write and use instructional objectives (5th ed). New York: Macmillan Publishing Co.Green, K. H. (...
The particular assessment tool considered involves a common matching problem to evaluate students' abilities to think about functions from graphical and formulaic representations. Through this analysis we gain additional understanding of why students may have difficulty in performing well on certain ...
49 Kannan Soundararajan - 1/4 L-functions 1:02:40 Kannan Soundararajan - 2/4 L-function 59:16 Kannan Soundararajan - 3/4 L-function 1:09:01 Kannan Soundararajan - 4/4 L-functions 1:07:44 Christian Bär - Index theory and applications to scalar curvature 49:08 Jean Pierre ...
49 Kannan Soundararajan - 1/4 L-functions 1:02:40 Kannan Soundararajan - 2/4 L-function 59:16 Kannan Soundararajan - 3/4 L-function 1:09:01 Kannan Soundararajan - 4/4 L-functions 1:07:44 Christian Bär - Index theory and applications to scalar curvature 49:08 Jean Pierre ...
The graph of the parent function provides a base model for the graphs of all related functions. Vertical stretch: How quickly the value of {eq}g(x) {/eq} changes compared to the parent function. If {eq}a > 1 {/eq} or {eq}a < -1 {/eq}, then {eq}g(x) {/eq} will ...
In this paper, we first propose an O(n(log n)3) algorithm for finding a maximum matching in trapezoid graphs, then improve the complexity to O(n(log n)2). Finally, we generalize this algorithm to a larger graph class, namely k-trapezoid graphs. To the best of our knowledge, these ...
(1) is directly related to progressive graph matching, as will be explained in Sec. 3. For the score function S(x), we adopt a quadratic assign- ment formulation [4, 18, 17, 9, 19, 7]. It assumes similarity functions that measure the mutual similarity of the graph at- tributes; ...
To compare the performance of these matching functions, a full-pel full-search BMA was implemented. The algorithm uses 16 × 16 blocks and a maximum allowed motion displacement of ±15 pels in both directions. In this algorithm, motion is estimated and compensated using original previous frames,...
The second category of methods uses deep learning capabilities to efficiently determine the parameters of graph matching methods such as cost functions in GED-like graph matching [10,11] and neighborhood features [12] or explicitly produce embedding of graphs in vector spaces that enable efficient si...
to the Selberg class 59:41 Height gaps for coefficients of D-finite power series 42:28 Joint value distribution of L-functions 51:37 Local statistics for zeros of Artin--Schreier L__�__-functions 24:10 Moments and Periods for GL(3) 57:40 On vertex-transitive graphs with a unique ...