Chan Wang

Chan Wang


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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19 April 2024 in Open Economies Review
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Journal Article
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PDF file
SSSyed Sadaqat Ali Shah
Syed Sadaqat Ali Shah
DDDavid Dickinson
David Dickinson
KTKunyu Tao
Kunyu Tao
CWChan Wang
Chan Wang
LZLiqing Zhang
Liqing Zhang

1 July 2016 in Journal of International Money and Finance
Verified
Journal Article
Closed access
LGLiutang Gong
Liutang Gong
CWChan Wang
Chan Wang
HZHeng-Fu Zou
Heng-Fu Zou


1 October 2017 in Journal of Economic Dynamics and Control
Verified
Journal Article
Closed access
LGLiutang Gong
Liutang Gong
CWChan Wang
Chan Wang
FZFuyang Zhao
Fuyang Zhao
HZHeng-Fu Zou
Heng-Fu Zou

14 September 2016 in Open Economies Review
Verified
Journal Article
Closed access
PDF file
LGLiutang Gong
Liutang Gong
CWChan Wang
Chan Wang
HZHeng-Fu Zou
Heng-Fu Zou

1 March 2020 in Mathematics
Verified
Journal Article
Open access
PDF file
TCTaixia Cheng
Taixia Cheng
ZWZhinan Wu
Zhinan Wu
XLXiaowu Li
Xiaowu Li
CWChan Wang
Chan Wang
Point orthogonal projection onto a spatial algebraic curve plays an important role in computer graphics, computer-aided geometric design, etc. We propose an algorithm for point orthogonal projection onto a spatial algebraic curve based on Newton’s steepest gradient descent method and geometric correction method. The purpose of Algorithm 1 in the first step of Algorithm 4 is to let the initial iteration point fall on the spatial algebraic curve completely and successfully. On the basis of ensuring that the iteration point fallen on the spatial algebraic curve, the purpose of the intermediate for loop body including Step 2 and Step 3 is to let the iteration point gradually approach the orthogonal projection point (the closest point) such that the distance between them is very small. Algorithm 3 in the fourth step plays an important double acceleration and orthogonalization role. Numerical example shows that our algorithm is very robust and efficient which it achieves the expected and ideal result.